val_data.jsonl

{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: when are svms preferable to deep learning models?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: How you will do cost optimization if we want to save cost for AWS services?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What is a NULL value, and how does it differ from zero or a blank space?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is a namespace in Python?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Are there any tools for identifying bugs and performing static analysis in python?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: Can you tell me about a time when you had to adapt to a new environment or learn a new skill quickly?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: How do the standard error and the margin of error relate?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: How have you worked with deep learning architectures in the context of computer vision?"}
{"text":"### Instruction: Generate a Javascript interview question\n\n### Response: What is the purpose of the 'this' keyword in JavaScript?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: How do your short term goals support your long term goals?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Can you give an example of how your work as a Data Scientist has directly impacted business outcomes in the past?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How will you create a calculated column in Power BI?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: How can you measure 4 gallons using only 3-gallon and 5-gallon jugs?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are the key features and benefits of aws cloudwatch?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for SAP\n\n### Response: design a system for real-time stock market data."}
{"text":"### Instruction: Generate a General interview question\n\n### Response: What is the difference between the content-based and collaborative filtering algorithms of recommendation systems?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is the capacity of a table in PostgreSQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Stripe is expanding its services into a new market and wants to optimize its pricing strategy. How would you approach this problem?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What are the different types of Probability Distributions?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: How can you use a HAVING clause to output IDs that appear in the 'manager_id' column at least 7 times?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what programming languages are supported by aws elastic beanstalk?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Mastercard\n\n### Response: Given the rise of contactless payments, how can Mastercard ensure security without compromising user experience?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Can you explain your understanding of product sense?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: How is Lasso Regression different from Ridge Regression?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: Provide some examples for each type of SQL command"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what do you mean by data ingestion?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: Can you create a detailed project plan for a complex, multi-year technology initiative?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What do you mean by grouping?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Can you explain the distinction between type I and type II errors in hypothesis testing?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: list down the conditions for overfitting and underfitting"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is special or unique about the CALCULATE and CALCULATETABLE functions?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is amazon sns (simple notification service)?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain inheritance in Python with an example"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: How to check if a Distribution is Normal?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you describe a pipeline you have built and how you overcame any obstacles?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Write a program in Python to produce a Star triangle?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Explain the daily tasks that you worked on"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What is denormalization in SQL, and why use it?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are the literals in Python?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Define pickling and unpickling in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Why removing highly correlated features are considered a good practice?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: Provide details about the project you worked on including assumptions, metrics, implementation, evaluation, and areas of improvement?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: youre given two words, begin_word and end_word, which are elements of word_list. write a function shortest_trajectory (or return the length of any shortest path its not possible to write code)."}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: What did you learn from your previous experience?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What do you mean by momentum optimizations?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How can you check whether a pandas DataFrame is empty or not?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you walk me through how you collaborate with cross-functional teams (such as developers, analysts, and stakeholders) during the data migration process?"}
{"text":"### Instruction: Generate a General interview question\n\n### Response: What are the steps to create 1D, 2D and 3D arrays?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: can you tell me about a time when you made a decision that didn't work out?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what is the difference between joining and blending in tableau?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Stripe\n\n### Response: What are time series models?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is Apache Spark, and how does it differ from Hadoop?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is random forest algorithm?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: Give some examples of SQL dialects"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Tell me about a project where you had to work collaboratively with a cross-functional team to achieve a common goal. What was your role and how did you contribute?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: name out different ways of deployment in salesforce"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: tell me about a complex problem that you were able to simplify using data analytics."}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What is the difference between Treemaps and Heatmaps in Tableau?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: In what scenarios would you prefer a confusion matrix over an ROC curve for performance assessment, and vice versa?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: how do you go about finding answers to questions when the data is complex and unorganized?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What is the meaning of standard deviation?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How do you handle ambiguity or uncertainty in your work?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: How does the SQL execution engine process a query?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: What is data cleaning?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: how has this failure helped you to become a better data scientist?"}
{"text":"### Instruction: Generate a Artificial Intelligence interview question\n\n### Response: Where are long-tailed distributions used?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Which industries and verticals prefer a heat map over other forms of data visualization?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What does a session do in Django?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python generators, and how do they differ from regular functions? Provide an example."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Calculate total quantity from a dictionary"}
{"text":"### Instruction: Generate a Data Analyst interview question for Nvidia\n\n### Response: can you explain the concept of cloud gaming and its potential future developments?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What is the meaning of six sigma in statistics?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: What is a window function?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is a break statement used for in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: In five years, where do you see yourself?"}
{"text":"### Instruction: Generate a Machine Learning interview question for Glider in 2023.0\n\n### Response: Does model have any meta-parameter?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Reverse a list"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: Explain the concept of query optimization and the techniques used for optimizing SQL queries."}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What types of variables are used for Pearsons correlation coefficient?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What are the other challenges associated with real-time data engineering?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: Given a 5x5 image with a 3x3 filter and a padding p=1, what will the size of the resultant image be if a convolutional stride of s= 2 is used?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: According to you, how should an organization strengthen its user authentication?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for PayPal\n\n### Response: Write a function to merge two sorted lists into one sorted list"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: MSBI vs Power BI"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: how many teams are there at amazon working in various areas?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: How do you find feature importance in a neural network?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: how is the accuracy of the model calculated?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What do you mean by data manipulation language?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: If a distribution is skewed to the right and has a median of 20, will the mean be greater than or less than 20?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: The Homicide Rate in Scotland Fell Last Year to 99 From 115 the year before. Is This Reported Change Noteworthy?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain the Purpose of `__name__` and `__main__` in Python Scripts?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: What is your approach to working with a large amount of data?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain the Purpose of `__str__` and `__repr__` Methods in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: Explain the difference between Type I and Type II errors."}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: Create a dual-axis chart in Tableau to present Sales and Profit across different years using the Sample Superstore dataset."}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is Cursor? How to use a Cursor?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2023.0\n\n### Response: For creating a new database of our employee records how will you define the system storage requirements?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What steps do you take to handle data errors and processing failures in real-time data pipelines?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: How do you stay up-to-date on the latest developments and research in computer vision and machine learning?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Explain the concept of data warehousing in the context of ETL."}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is a confounding variable?"}
{"text":"### Instruction: Generate a Python interview question for Pico MES\n\n### Response: Using the below Pandas data frame, find the company with the highest average sales. Derive the summary statistics for the sales column and transpose the statistics."}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is the reason behind the curse of dimensionality?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What are Constraints in SQL?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: how can ai impact society?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: how do you write a stored procedure in sql?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you explain your experience with data modeling and database design?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you handle changes or updates to existing data models?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What are list comprehensions in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: what are the growth opportunities available at nvidia for a data scientist?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: In your opinion, what are some common mistakes made by data analysts when working with data?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Pico MES\n\n### Response: What is the difference between joining and blending in Tableau?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: what is the use of the static resource in salesforce?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Robinhood\n\n### Response: What criteria would you use to determine whether Robinhood should roll out push notifications for market openings to all users?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Can you explain a time when you had to work with messy or incomplete data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: How will you apply algorithms, filters, and other conditions to your data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: What sets the K-means algorithm apart from the Expectation-Maximization (EM) algorithm?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what is the difference between data mining and data profiling?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is Django?"}
{"text":"### Instruction: Generate a Data Engineer interview question for PayPal\n\n### Response: How do you remove a linked list node when only given a pointer to that specific node?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: In an observation, there is a high correlation between the time a person sleeps and the amount of productive work he does. What can be inferred from this?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Could you walk us through a case study where you applied machine learning techniques to solve a problem?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What are data transformation strategies in data engineering?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What Are Vanishing and Exploding Gradients?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are the benefits of Python?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Explain how NULL values are handled in SQL queries, and how you can use functions like IS NULL and IS NOT NULL."}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Tell me about a team experience you had."}
{"text":"### Instruction: Generate a Data Scientist interview question for AWS\n\n### Response: how should you approach complicated or ambiguous problems?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain the use of session in Django framework"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Explain the  Joint and  Marginal Probability."}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Can you explain the difference between L1 and L2 regularization, and when would you use each of them in a linear regression model?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is query folding in Power BI?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What does 'self' mean in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is scatter plot in tableau?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How will you define the Tableau Dashboard?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the empirical rule?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Citigroup\n\n### Response: Explain the cost function and loss functions."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for PayPal\n\n### Response: Explain how you would approach solving a problem involving a vending machine and giving change for coins?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: What are the risks involved in planning a data science project?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Stripe\n\n### Response: As a programmer, could you create a function that can detect which strings within a list are anagrams of each other?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you approach scaling real-time data pipelines?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you discuss the diagnostics of linear regression and logistic regression?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What do you think is the most critical aspect of data governance, and how do you ensure it is done correctly?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Plaid\n\n### Response: Can you develop a function to find the longest path within a Directed Acyclic Graph?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: Can you walk us through a specific example of how you have used cross-validation in a past project?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: create a view in tableau to analyze the sales, profit, and quantity sold across different subcategories of items present under each category."}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: Can you explain some of the common techniques used to impute missing values?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: What is exploratory data analysis (EDA)?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you differentiate between a tuple and a list?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Explain some techniques for optimizing Spark jobs for better performance and resource management"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: explain supervised and unsupervised learning."}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: Describe a time when you had a large amount of data. How did you ensure accuracy?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is namespace in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what measures are required to secure data in aws?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What are Redis and DynamoDB used for?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What is the difference between a WHERE clause and a HAVING clause in SQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: What drew you to Coinbase?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: When creating a metric to compare two user's Netflix recommended lists of movie\/tv show preferences, what steps would you take to ensure its reliability and accuracy?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: Could you share your experience with a particular machine learning model and explain its mechanics?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: What role does teamwork play in your data analysis projects?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Can you parse a meta data string into a dictionary?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: What do you understand by a random forest model?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2022.0\n\n### Response: Differentiate between Data Analytics and Data Science"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is the difference between one hot encoding and ordinal encoding?"}
{"text":"### Instruction: Generate a Behavioral interview question for Morgan Stanley\n\n### Response: Tell me about a time you used data to make a recommendation"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: what is a lookup relationship in salesforce?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What are some of the hyperparameters of the random forest regressor which help to avoid overfitting?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is a calculated column in Power BI and why would you use\u00a0them?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Why Lambda is used in Python?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What are the types of biases that you can encounter while sampling?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: How to calculate range and interquartile range?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: How do you explain the law of large numbers in statistics?"}
{"text":"### Instruction: Generate a Natural Language Processing interview question\n\n### Response: Define the Bag of N-grams model in NLP."}
{"text":"### Instruction: Generate a Data Engineer interview question for Wells Fargo\n\n### Response: Describe a data project you worked on. What were some of the challenges you faced?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the meaning of KPI in statistics?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How is data transformation handled in cloud-based ETL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what does the wors na\u012bve mean in naive bayes?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Tax Basis It's tax season! Given a set of transactions, find out the cost basis for each sell and compute the overall capital gain\/loss."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: You get the error temp. while trying to read a file using pandas. Which of the following could correct it?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What are some of the properties of a normal distribution?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you walk us through a project youve worked on where you implemented data governance?"}
{"text":"### Instruction: Generate a Data Scientist interview question for AWS\n\n### Response: explain how you would leverage machine learning to enhance amazon's fraud detection capabilities and ensure a secure online shopping experience for customers."}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: can you write a python function to get a sample from a standard normal distribution?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the difference between class methods and static methods in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How to create stories in Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: How will you collect data from different sources like from web APIs to internal databases encoded in SQL?"}
{"text":"### Instruction: Generate a Behavioral interview question for Morgan Stanley\n\n### Response: Why wouldn't I hire you?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Visa\n\n### Response: Explain the difference between shallow copy and deep copy in Python."}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: What is denormalization?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What is SQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for American Express\n\n### Response: Write code to implement a binary search tree in Python?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: How are the WHERE and HAVING statements different?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what is the difference between quantitative and qualitative data?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What is ETL in data engineering?"}
{"text":"### Instruction: Generate a Artificial Intelligence interview question\n\n### Response: Explain SQL Having statement?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: What is the difference between mutable and immutable data?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you manage time zone differences in ETL processes?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: In decision trees, what's the significance of bias and variance? Furthermore, which one presents a bigger issue - high bias or high variance - and what's the justification for that?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Assume you have a logistic model that he heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point. e.g. 100.00 turned into 10000. Would the model will be valued? Why or why not? How would you fix the model?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what is the difference between an error and a residual error?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you explain the ETL process and how it works?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Robinhood\n\n### Response: Discuss your knowledge of serverless computing and its benefits for data engineering tasks."}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What is Denormalization?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is naive in the naive bayes classifier?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Tell me about a time you had multiple competing priorities. How did you handle this?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the time complexity of using a Python dictionary to keep count of repetitions in a list?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is the purpose of cloudwatch?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is the difference between sns and sqs?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are the different types of hypothesis testing?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How would you design an experiment to test the effectiveness of a new feature in Square's payment processing platform using data analysis?"}
{"text":"### Instruction: Generate a All interview question for Google\n\n### Response: describe a past project you worked on."}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you approach data governance and data security in the context of data architecture?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: How do you define Normal Distribution?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Explain Naive Bayes"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: what have you learned from a recent failure?"}
{"text":"### Instruction: Generate a Machine Learning interview question for Glider in 2023.0\n\n### Response: Is the model interpretable?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: When would you choose RDDs over DataFrames?"}
{"text":"### Instruction: Generate a All interview question for Shell\n\n### Response: Describe a time where you lead others"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what is the difference between clustered and non-clustered index?"}
{"text":"### Instruction: Generate a SQL interview question for JPMorgan Chase\n\n### Response: Calculate The Average Transaction Amount per Branch"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are some drawbacks of data analytics?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are the benefits of using aws elastic beanstalk?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what challenges may a data analyst encounter when working with data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: explain the term botnet?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What is a recurrent neural network (RNN)?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: explain the ensemble learning technique in machine learning."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is cost function in machine learning"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How to perform query tasks on the Power BI desktop?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Capital One\n\n### Response: Can you provide examples where you identified risks and mitigated them in a lending portfolio?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Write a Python program that removes duplicates from a list"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: from the below dataframe, how will you find each column's unique values and subset the data for age<35 and height>6?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Could you tell me about a time when you aided a colleague with his work?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: What is a subquery?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you explain how to find the nth prime number?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How can you hide a column from a table?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: List the different types of relationships in SQL."}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What are the different joins that Tableau provides?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: what is a neural network?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Explain bagging, boosting, bias-variance trade-off, and stacking in data science."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: given two strings a and b, write a function to return whether a can be shifted some number of places to get b."}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Please tell us about a time when you made a big mistake at work."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: how would you tackle a problem of finding the shortest transformation sequence from begin_word to end_word through the elements of word_list?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What tools and technologies have you worked with in building data warehouses?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Wells Fargo\n\n### Response: What is lemmatization?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: On types are you familiar with?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is KPI in tableau?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Can you list some limitations of context filters? (It is a Tableau interview question on filters.)"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: Explain the concept of overfitting in machine learning models."}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what type of data does amazon collect on its customers?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What is your knowledge of statistics?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: what is a role in salesforce?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is the difference between Filter and Slicer?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you keep up with the latest trends and technologies in data modeling?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Explain type 1 errors and their likelihood. If we change the sampling distribution and omit all measurements below the mean, what impact will this have on the possibility of a type 1 error?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you debug a python program?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: What Is the Purpose of __init__ in Python?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python libraries?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what function is used to load the dataset in the logistic regression implementation in r?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is healthcare diagnosis"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: can you tell us about a time where you received unpleasant feedback?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What are the key features of Python?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: Describe gradient descent and the motivations behind stochastic gradient descent?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: What factors would you consider when comparing and contrasting the outcomes of two different search algorithms?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What is change data capture (CDC) in ETL?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What is a Perceptron?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the easiest way to calculate percentiles when using Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Tell me about a time you were proved wrong"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python\u2019s key features, and how do they contribute to its popularity?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: How would you handle conflicts that arise between different business units at Mastercard due to conflicting priorities?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: How would you identify synonyms?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Tell me about a time when you mentored someone"}
{"text":"### Instruction: Generate a All interview question for AWS\n\n### Response: tell me about a time when you disagreed with a manager. how did you handle the situation? what was the result?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: Describe how you would analyse user behaviour data to spot trends or anomalies."}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: There are n nodes, each node are the number of cities, how many ways we can visit all cities without repetition."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are the database connections in Python Flask, explain?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Write an algorithms that checks validity of brackets in a string."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: How would you define batch normalization and dropout within the context of machine learning?"}
{"text":"### Instruction: Generate a Python interview question for Mastercard\n\n### Response: Which technique did you use to fill the null values and why?"}
{"text":"### Instruction: Generate a Behavioral interview question for Morgan Stanley\n\n### Response: Why Morgan Stanley?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: Describe the use of Markov models in sequential data analysis?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Wells Fargo\n\n### Response: How would you investigate if the new email campaign actually led to the increase in the conversion rate, and that the increase wasnt instead the result of other factors?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: How can we describe the model setup formulaically and evaluate the posterior probabilities and log likelihood for a Gaussian Mixture Model (GMM) for anomaly detection?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What makes Python well-suited for Big Data?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is Power Pivot Data Model?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: Can you explain SQL Normalization?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Wells Fargo\n\n### Response: Due to an ETL error, the employees table did an insert instead. How would you write a query to get the current salary for each employee?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What are measures of central tendency?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for PayPal\n\n### Response: Explain how you would calculate word frequency (TF-IDF) in a natural language processing use case."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What does len() do?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Is Python a programming language?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Explain Java's HashMap implementation as a data structure?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What Is the Confidence Interval?"}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: What are the essential functional and non-functional requirements for a database system that stores API keys and related information for a company providing payment management services to software developers?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How to get the items that are not common to both the given series A and B?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Which methods of communication do you use which you find particularly effective?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: How are decision trees trained?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is the need for group functions in SQL?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what statistical methods have you used in data analysis?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: How can you use techniques like regularization or cross-validation to address overfitting and underfitting issues?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: what is the difference between cluster and systematic sampling?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What are table and Field?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: what is data visualization?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How to delete a column or group of columns in pandas?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Write a Python program to print a list of primes in a given range"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the purpose of the \u2018if __name__ == \u201c__main__\u201d::\u2019 statement?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: what sets you apart from other candidates?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Robinhood\n\n### Response: What are the different types of data models (e.g., relational, dimensional, NoSQL) and when would you use each?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: What is the purpose or use of a parameter in Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Tell me about a time when you had to deal with a difficult team member?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: Could you discuss the favorable and less favorable features of Support Vector Machines?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Mastercard\n\n### Response: What is the binomial distribution?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: what are the different types of sampling techniques?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: What is Bayes' theorem? Can you explain its components and how its applied in statistics?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Goldman Sachs\n\n### Response: Group anagrams together."}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How to create hierarchy in tableau?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: How would you use techniques like chunking or generators in Python to process large data efficiently?"}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: Which metrics should be used to evaluate the effectiveness of a loan default prediction model that takes customer inputs and outputs loan approval recommendations?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do I import a module?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is amazon sagemaker and how is it used in the machine learning workflow?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the method to write comments in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you explain why the covariance matrix must be positive semi-definite in portfolio theory?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Nvidia\n\n### Response: what has been the most challenging project you have worked on so far?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Pico MES\n\n### Response: Whats the largest data set youve worked with?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What is the process of decision tree construction?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: How will explain the concept of ROE\/RR\/solvency to someone who doesnt have a financial background?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Plaid\n\n### Response: Design a file sharing system like Dropbox."}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What is regularization in machine learning?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is a hypothesis test? How is the statistical significance of an insight determined?"}
{"text":"### Instruction: Generate a General interview question\n\n### Response: How will you sort the array based on the Nth column?"}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: How would you build a fraud detection model?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: How do you collaborate with other data engineers, data analysts, and business stakeholders to ensure data models meet their needs?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: how would you give each rejected applicant a reason why they got rejected for a loan using a binary classification model?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: explain how a system can play a game of chess using reinforcement learning"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: What is a hash function in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: write the python code to create an employee's data frame from the emp.csv file and display the head and summary."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is machine learning and how does it work?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Can you describe your experience with SQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Explain the differences between a left join, right join, inner join, and outer join?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the time complexity for DFS on a graph?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Describe a previous project of your choice, frame and solve a problem given a scenario."}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are the common problems that data analysts encounter during analysis?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the use of self in Python?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: How do neural networks learn from the data?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: how do you monitor the performance of an application running on aws?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2023.0\n\n### Response: Have you ever implemented a solution that improved data storage? If yes, then what was your role in it, and what was the solution?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are the three fundamental concepts of DAX?"}
{"text":"### Instruction: Generate a Behavioral interview question for Morgan Stanley\n\n### Response: What do you do for fun outside of work?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: How do you prevent SQL injection?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: Can you tell me how your credentials make you better at your work?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is an SQL alias?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: What technique can be proposed instead of one-hot encoding?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: If There Are 8 Marbles of Equal Weight and 1 Marble That Weighs a Little More For a Total of 9 Marbles, How Many Weighings Are Required to Determine Which Marble Is Heaviest?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What Is a Multi-layer Perceptron(MLP)?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How can you generate random numbers?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is row-level security?"}
{"text":"### Instruction: Generate a Tableau interview question\n\n### Response: How do you create a dashboard in Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you describe a situation where you had to think outside the box?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Explain Power BI Designer."}
{"text":"### Instruction: Generate a Machine Learning interview question for JPMorgan Chase\n\n### Response: How would you combat overfitting when building tree-based models in training a classification model?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Describe a time when you had to manage multiple responsibilities."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Mastercard\n\n### Response: Can we apply linear regression instead of logistic regression and vice versa?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: Why is Python a popular choice for Big Data analytics?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what are the types of metadata that can be use?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How can you add a column to a Pandas Data Frame?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Stripe\n\n### Response: How would you find out if the difference between this month and the previous month was significant or not in a time series dataset grouped monthly for the past five years?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Stripe\n\n### Response: How do you handle conflicts in the workplace?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What are the various types of machine learning algorithms used in NLP?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Differentiate between commit and checkpoint."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How would you reset the index of a dataframe to a given list?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: What is your career path?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How to add custom colors in tableau?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: Explain the uniform distribution."}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Write an SQL query to find employee_id of all employees who directly or indirectly report their work to the head of the company"}
{"text":"### Instruction: Generate a Data Analyst interview question for Citigroup\n\n### Response: Explain the logistics regression process."}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is the difference between amazon rds and amazon aurora?"}
{"text":"### Instruction: Generate a General interview question\n\n### Response: What is List Comprehension? Give an Example."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the difference between tuples and lists in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Capital One\n\n### Response: What is your experience in cross-functional collaboration and effectively communicating data insights to diverse teams?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What is your experience in data analysis, and how do you use data analysis to create a data model?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: How would you decide whether to launch a certain campaign?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Give an example of a business problem you worked on and how you used data analysis to solve it."}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: In what situation would the median be a more suitable measure compared to the mean?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Mastercard\n\n### Response: Describe a data project you worked on. What were some of the challenges you faced?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: What are the advantages and disadvantages of using Airflow compared to other data pipeline orchestration tools like Luigi or Prefect?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: How to apply Bayes theorem to compute the probability of 'its actually raining' given that 'your friends say yes.'"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Please give me an example of a time when you demonstrated initiative."}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: How do we choose the appropriate kernel function in SVM?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Google\n\n### Response: write code to generate iid draws from distribution x when we only have access to a random number generator."}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: What do you mean by the MITM attack? How can you prevent such an attack?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Wells Fargo\n\n### Response: Write a function get_last_page to return the last page number from a string of ascending integers, or the last number in one of the lists of integers."}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: What is the task of a tax accountant?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is main function in python? How do you invoke it?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What distinguishes Python from other programming languages?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is a Stored Procedure?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: Discuss the impact on model performance."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for JPMorgan Chase\n\n### Response: What's your salary expectation?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What does the concept of error assumption signify in linear regression, and why is it crucial for accurate modeling?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Can you explain your approach to interpreting and discussing the model with management?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: When presented with a high-dimensional dataset in a machine learning challenge, how would you approach it?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How would you evaluate the performance of the model you built?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Capital One\n\n### Response: How to ensure scalability in data solutions?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are local and global variables and their differences?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Visa\n\n### Response: How to answer an SQL query that selects the two students with the closest SAT scores and calculates their score difference."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Plaid\n\n### Response: What is your level of proficiency regarding the construction of a KNN classifier?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: what metrics would you use to track accuracy and validity of a spam classifier for emails?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are the pitfalls and problems of Python language?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: what do you understand by lod in tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Could you tell me about a time when you aided a colleague with his work?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: what is game theory?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are built-in types of Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what are the assumptions required for linear regression?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what is the difference between variance and covariance?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How would you delete files in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: what is the downside of only using the r-squared value to analyze how well a model fits the data given?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: Can you walk me through your resume?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What are entities?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: How would you Build ML models for predictions."}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is the probability of getting \"HTT\" before getting \"TTH\"?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: What is your experience with implementing machine learning models in production, and what kind of challenges did you encounter while doing so?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Explain window functions in SQL. How do they differ from regular aggregate functions?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do Python arrays and lists differ from each other?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: what are false negatives"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is amazon kinesis used for?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you describe your experience with ETL (Extract, Transform, Load) processes?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are the best methods for data cleaning?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: In an observation, there is a high correlation between the time a person sleeps and the amount of productive work he does. What can be inferred from this?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is overfitting, and how can you avoid it?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: Describe hashing and also give an example of when you should use it."}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what statistical techniques are used in data analysis?"}
{"text":"### Instruction: Generate a SQL interview question for Pico MES\n\n### Response: How do you subset or filter data in SQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Explain different types of Sampling Biases in statistics."}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Discuss advanced optimization techniques for SQL queries."}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How would you test if a new credit risk scoring model works? What data should we look at?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Is this Data Scientist role a good fit for your qualifications?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: what are the different connection types in tableau software?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How would you approach finding the most frequent word in a text file using Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what tools are data analysts familiar with at amazon?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How can we access sessions in flask?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Would you be able to provide me with some instances where overfitting and underfitting are common in real-world situations? What are the implications for model accuracy and performance?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are standardised coefficients and how are they calculated?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is the HAVING clause?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What does it mean when pandas form a group?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: How would you prove that the square root of two is irrational?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Can you tell me about a time when you identified a key insight from data analysis that drove business decisions?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What aggregate functions do you know?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: Given two sorted lists, write a function to merge them into one sorted list."}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: Write down various types of relationships in SQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: what do you know about the effect of learning rate initialization and batch size on a cnn architecture?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Can you explain a complex data analysis to someone without a technical background?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is bidirectional cross-filtering in Power BI?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Lambda Functions in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the definition of correlation?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain global variables and local variables in Python."}
{"text":"### Instruction: Generate a Data Engineer interview question for Shell in 2023.0\n\n### Response: Tell me about the Project"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What motivates you?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Can you describe a time when you had to work with a difficult stakeholder?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Can you develop an algorithm to find the integer that causes a problem in an array of sorted integers from 0 to n?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Explain the concept of a database schema."}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: How would IRR and WACC help you?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is Binomial Distribution?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Write an SQL query to find the consecutive number, which appears at least thrice one after another without interruption?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: Which operator is used in queries for pattern matching?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are the various steps involved in any analytics project?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Robinhood\n\n### Response: Is a logistic model still valid if a key variable has data quality issues?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2022.0\n\n### Response: How can one transfer data from Microsoft SQL Server to MySQL?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is NumPy?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Nvidia\n\n### Response: write an sql query to calculate the total expenditure for each department. additionally, for comparison purposes, return the average expense across all departments."}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What Is Bagging and Boosting?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the Pareto principle?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Mastercard\n\n### Response: How would you select Dashers for Doordash deliveries in NYC and Charlotte?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: What is an unbiased estimator and can you provide an example for a layman to understand?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What is an eigenvector of a matrix A?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Stripe\n\n### Response: Give an example of a time when you went above and beyond for work."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How to send an email in Python language?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Explain Likely Differences Between Administrative Data Sets and Data Sets Gathered From Experimental Studies. What Are Likely Problems Encountered With Administrative Data? How Do Experimental Methods Help Alleviate These Problems? What Problem Do They Bring?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Shell in 2023.0\n\n### Response: Have you experienced a situation where your team did not listen to your suggestions? If so, please elaborate."}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What is the most common cost function for logistic regression?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: a team wants to a\/b test multiple different changes through a sign-up funnel. they want to see if changing a button from red to blue and\/or from the top of the page to the bottom of the page will increase click-through. how would you set up this test?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What is the difference between a database and a data warehouse?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How to drop a row or column in a dataframe?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: How does a random forest reduce overfitting and correlation between trees?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: sql coding exercise: calculating seat availability on plane given two tables SEATS and PLANE."}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: What is an unbiased estimator, and can you provide a simple example to help someone without a statistics background understand it?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What are the destinations for output in Power Query?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What do extracts and schedules in Tableau Server mean?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is Measure of Position? How is it helpful in Descriptive Statistics?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Capital One\n\n### Response: Define data warehousing and highlight its distinctions from a traditional database."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is a machine learning model?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Mastercard\n\n### Response: Differentiate between supervised and unsupervised learning."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What are some ways you might improve your model or what other models might you look into?"}
{"text":"### Instruction: Generate a Artificial Intelligence interview question\n\n### Response: Explain the Joint and Marginal Probability"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: What interests you about working at JP Morgan?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: using the below sales table, calculate the total quantity sold by sales representatives whose name starts with a, and the cost of each item they have sold is greater than 10."}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What is a stored procedure?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How are objects processed in polymorphism?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: Can you explain the architecture of PostgreSQL?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you get indices of n maximum values in a NumPy array?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you give an example of a particularly challenging pipeline you have worked on?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Tell me more about your experience with Python."}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What is the difference between univariate, bivariate, and multivariate analysis?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: How would you design an algorithm to efficiently identify potentially fraudulent transactions?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Stripe\n\n### Response: Tell me about yourself."}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what happens when some of the assumptions required for linear regression are violated?"}
{"text":"### Instruction: Generate a Tableau interview question\n\n### Response: What are the KPI or Key Performance Indicators in Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Give an example where you applied linear regression"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How do you handle errors and exceptions during the data migration process?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you explain your experience with fundamental Python concepts?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: How do measure the effectiveness of the clusters?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Write a program to produce Fibonacci series in Python."}
{"text":"### Instruction: Generate a Data Scientist interview question for Oracle\n\n### Response: what is overfitting?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: What are residuals, and why is it important to analyze them in regression?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: How can you write an SQL query to retrieve data from multiple related tables?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: Explain two ways to deal with the vanishing gradient problem in a deep neural network."}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: What achievement are you most proud of?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What are the types of selection bias in statistics?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: What would you do to prioritize product features under resource constraints?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What is bar-plot?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is a Decision Tree Classification?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Visa\n\n### Response: How to ensure that all nested lists, regardless of their depth, are properly flattened and all integers are collected into a single, one-dimensional array?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What is margin of error?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the Dogpile effect?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Calculate a factorial"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: tell me about a time you've had to change the way you work."}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: what would your current manager say about you, and what constructive criticism might he give?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Can you define cross-validation and describe how you use this process when analyzing a data set?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: Implement a function to check if a given string is a palindrome."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: when designing neural networks for image classification, how does the adam optimization algorithm differ in the way it works from other optimization methods?"}
{"text":"### Instruction: Generate a Tableau interview question\n\n### Response: What data sources can you connect to the Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Oracle\n\n### Response: what is time series analysis?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Mastercard\n\n### Response: How would you shift to return whether or not A can be shifted some number of places to get B?"}
{"text":"### Instruction: Generate a All interview question for AWS\n\n### Response: what tools do you think are useful for each work and how familiar are you with them?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: what is collaborative filtering?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: What steps would you take to ensure a scalable, efficient architecture for Bing's image search system?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: How do you approach hypothesis testing in your analysis?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Why is lambda used?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain the Django session?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: how do you deal with messy data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for IBM\n\n### Response: how does one test the models performance using the selected features and then iteratively refine the feature set based on performance metrics such as accuracy, precision, recall, or f1-score?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Intel\n\n### Response: are there any key success indicators for someone serving a role like data scientist?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: define the term 'data wrangling in data analytics.'"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: What do you know about Coinbase?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: Can you share a time when you exceeded expectations?"}
{"text":"### Instruction: Generate a Machine Learning interview question for JPMorgan Chase\n\n### Response: What did you learn from the experience?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: Discuss your approach to fostering a culture of innovation and learning, ensuring that team members are not only receptive to change but are also active participants in the transition process."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are the common built-in data types in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: In what ways do batch normalisation and instance normalisation differ?"}
{"text":"### Instruction: Generate a Data Scientist interview question for AWS\n\n### Response: assume you're given a table containing data on amazon customers and their spending on products in different category, write a query to identify the top two highest-grossing products within each category in the year 2022. the output should include the category, product, and total spend."}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What are the data management gateway and Power BI personal gateway?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is Python? List some popular applications of Python in the world of technology."}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: How do you validate your data analysis results?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What are Union, minus, and Intersect commands?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Coinbase\n\n### Response: Describe your experience with SQL and database querying. How do you optimize queries for performance when working with large datasets?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: how does aws glue work?"}
{"text":"### Instruction: Generate a Machine Learning interview question for JPMorgan Chase\n\n### Response: Provide an example of a financial problem where linear regression might be a suitable modeling approach."}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What is a unique key?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Assume you have a logistic model that is heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next, assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point (e.g., 100.00 turned into 10000). Would the model be valued?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What are all the different attributes of indexes?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python Decorators?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: why is iam important in aws?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: Discuss common preprocessing steps in NLP before modeling."}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: what is an audit trail?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Talk about a time you had a disagreement with your manager."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: Define what it means for a function to be convex. What is an example of a machine learning algorithm that is not convex and describe why that is so?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Write the Python code to create an employees data frame from the emp.csvfile and display the head and summary."}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the equation for confidence intervals for means vs for proportions?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: How would you detect fake Instagram accounts used for scamming consumers?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: What makes you the best candidate for this position?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: In layman's terms, how would you describe regression to a company executive?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is the biggest challenge you have overcome?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2023.0\n\n### Response: How to select the right candidate for the post of Financial Analyst?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you use the module we just created?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: How did you handle missing or dirty data in this project?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What is Overfitting and Underfitting, and How to Combat Them?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Can you provide an example of a case study you have worked on in the past?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what is aws cloudwatch?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What experience do you have working with ETL tools and processes?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How to add new column to pandas dataframe?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are discrete and continuous data in Tableau?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: write a function shortest_transform, which finds the shortest sequence of transformations to transform the begin_word into the end_word using transformations defined in the word_list."}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: What do you think was your most successful project and why?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: how is python useful in data science?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Plaid\n\n### Response: When is a window function more efficient than a join?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: What is the pooling layer?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Can you solve a number trick involving integer and string transformation?"}
{"text":"### Instruction: Generate a Artificial Intelligence interview question\n\n### Response: Explain the working procedure of the XGB model."}
{"text":"### Instruction: Generate a Data Engineer interview question for Robinhood\n\n### Response: Create a function traverse_count to determine the number of paths in an (n \u00d7 n) grid. Given an integer (n), write a function traverse_count to determine the number of paths from the top left corner of an (n \u00d7 n) grid to the bottom right. You may only move right or down."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: The difference between NVL and NVL2 functions?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: How have you utilized a model personally in any of your projects?"}
{"text":"### Instruction: Generate a Data Analyst interview question for JPMorgan Chase\n\n### Response: Do you have experience with SQL, SAS, Power BI, Alteryx, Python, and machine learning?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: Was there a time when you made a bad financial decision?"}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: What are the requirements for a database storing API keys and related information for a payment management service targeting software developers?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: How Would a Change of Amazon Prime's Membership Fee Affect the Market?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What Is Boosting?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you discuss your experience with distributed computing and parallel processing in the context of real-time data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: What is the significance of eigenvalues and eigenvectors in understanding a matrixs properties, particularly in finance?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: Explain SMOTE method used to handle data imbalance."}
{"text":"### Instruction: Generate a Data Analyst interview question for Bank of America\n\n### Response: Write a function to swap nodes in a singly linked list."}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What are the criteria that Binomial distributions must meet?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Why is regularisation done in Machine Learning?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is overfitting and how do you prevent it?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: What key factors should be considered when designing an end-to-end architecture for a global e-?"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: When would you use a bagging algorithm versus a boosting algorithm?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: Can you walk me through the process of conducting an A\/B test to compare the effectiveness of two product campaigns, with a goal of detecting a 3% improvement in performance?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the relationship between mean and median in a normal distribution?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: What is the reason for your desire to join Chime?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Nvidia\n\n### Response: write a function shortest_transformation to find the length of the shortest transformation sequence from begin_word to end_word through the elements of word_list."}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: what functions in sql do you like most?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is the type of machine learning that amazon uses for business?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: What are all types of user-defined functions?"}
{"text":"### Instruction: Generate a SQL interview question\n\n### Response: Define SQL Order by the statement?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Explain the Purpose of monkey patching"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What is a subquery?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What are the basic SQL CRUD operations?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Capital One\n\n### Response: As a data analyst in a ride-sharing marketplace, how do you detect fraud and ensure fair pricing?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: Can you describe an instance when you assumed a leadership role in a group project?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: What approach do you follow to efficiently handle a big team?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Citigroup\n\n### Response: What is a Gini coefficient?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: In which order does the interpreter execute the common statements in the SELECT query?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: What metrics do you typically use to evaluate model performance, and why?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What are the different types of sampling techniques used by data analysts?"}
{"text":"### Instruction: Generate a Data Analyst interview question for PayPal\n\n### Response: What are the best methods for data cleaning?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What data warehousing experience do you have?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: how does amazon kinesis work?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: What is one time you had to stand up and disagree with a team member's approach?"}
{"text":"### Instruction: Generate a Machine learning engineer interview question for Capital One\n\n### Response: Explain the concept of overfitting and underfitting in machine learning models"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the difference between pass by value and pass by reference?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: I want to hear about a time when you had to compromise"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What are Non probability sampling methods?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is the Pandas library in Python, and how is it used for data manipulation?"}
{"text":"### Instruction: Generate a Data Analytics interview question\n\n### Response: What is the benefit of using box plots?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: mention the differences between data mining and data profiling?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Write a SQL query to find the consecutive number, which appear at least thrice one after another without interruption"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is an example of encapsulation?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is The Use of The `pass` Statement in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Intel\n\n### Response: what is unsupervised learning?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: how would you approach rotating a matrix by 90 degrees clockwise?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Wells Fargo\n\n### Response: You notice that the credit card payment amount per transaction has decreased. How would you investigate what happened?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: Suppose there is an array that has values [0,1,2,3,4,5,6,7,8,9]. How will you display the following values from the array - [1,3,5,7,9]?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: How can you prevent gradient descent from getting stuck in local minima?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Why are statistical data referred to as observational and experimental?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2023.0\n\n### Response: How do you stay up-to-date with new applications?"}
{"text":"### Instruction: Generate a Data Scientist interview question for PayPal\n\n### Response: What has the larger expected value, sampling a number between 1 and n from a uniform distribution and multiplying it by itself, or sampling two numbers and multiplying them."}
{"text":"### Instruction: Generate a Data Analyst interview question for Oracle\n\n### Response: create possible db table in oracle that should be represent the given scenarios."}
{"text":"### Instruction: Generate a Data Analyst interview question for Glider in 2022.0\n\n### Response: Name the important elements that you consider while deciding on a loan."}
{"text":"### Instruction: Generate a Data Engineer interview question for Shell in 2023.0\n\n### Response: How is your skill set in Python?"}
{"text":"### Instruction: Generate a General interview question\n\n### Response: How does Big-O notation describe an algorithm's time complexity"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: What makes you a good fit for SAP?"}
{"text":"### Instruction: Generate a All interview question for PayPal\n\n### Response: How would you deal with disagreeing colleagues?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What do you consider to be the most important characteristics of effective data models?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Visa\n\n### Response: How many transactions listed as paid have an amount greater or equal to 100?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Can you demonstrate how to reverse a binary tree in a selected programming language?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Block\n\n### Response: What is your experience with DM\/ETL, analytical thinking, deep dive into DW pipelines issues, and cross-functional fit?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Would you change something about Coinbase if you could?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: How do you check the rows affected as part of previous transactions?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: How to parse bigrams from a string?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Does multiple inheritances are supported in Python?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Why should we use Power BI?"}
{"text":"### Instruction: Generate a Behavioral interview question for Morgan Stanley\n\n### Response: What are your career goals?"}
{"text":"### Instruction: Generate a SQL Engineer interview question\n\n### Response: What are all types of user-defined functions in SQL?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is feature engineering? Explain the different feature engineering methods."}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is the difference between z-test, F-test, and t-test?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How to do Performance Testing in Tableau?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: How experienced are you with Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: You are given a deck of 500 cards numbered from 1 to 500. If the cards are shuffled randomly and you are asked to pick three, one at a time, whats the probability of each subsequent card being larger than the previously drawn one?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Nvidia\n\n### Response: can you discuss a technical problem you've encountered and how you resolved it?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: State the assumptions required for linear regression."}
{"text":"### Instruction: Generate a Data Scientist interview question for Chime\n\n### Response: Could you showcase your skills in creating a KNN classifier from scratch?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what are the stages of model testing?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: in building a recommender system, including data collection, choosing the right algorithm (like collaborative filtering or content-based filtering), and evaluating the systems performance. example example to build a recommender system from scratch, id start by collecting user interaction data, such as past purchases and ratings. i would likely use a collaborative filtering approach to find similarities between users and products. the system would be iteratively tested and refined based on metrics like click-through rates and conversion rates to ensure it effectively suggests products that align with individual user preferences and behavior patterns."}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What does an object() do?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Find the largest number in a list"}
{"text":"### Instruction: Generate a Data Analyst interview question for American Express\n\n### Response: What are the advantages of using XGBoost over traditional machine learning algorithms?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What are the different types of Hypothesis testing?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Can you discuss the process of feature selection and its importance in data analysis?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you write comments in python?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: Difference between Power Query and Power Pivot"}
{"text":"### Instruction: Generate a General interview question\n\n### Response: Why is finalize used?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: how do you adapt to failure and what have you learned from your failures?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Goldman Sachs\n\n### Response: What is a Random Variable?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: How do you select random rows from a table?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What is a constraint?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Bank of America\n\n### Response: Write a function to sort_lists to create a combined list while maintaining sorted order without importing any libraries or using the sort or sorted functions in Python."}
{"text":"### Instruction: Generate a Python interview question for Mastercard\n\n### Response: In a dataset, there is a sex column with the following unique values  Male, Female, M, F, other. How will you change these values to make this column consistent with a supervised model?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you walk me through a data pipeline youve built before?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Capital One\n\n### Response: How does data analytics help in transforming raw data into actionable strategies for business growth?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Which of the accompanying Statements is\/are Valid in regard of the Python programming language?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is One sample test? How is it different from Two Sample test? Give a scenario for each of these types of hypothesis testing?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: how will you determine which machine learning algorithm to use for a classification problem?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Are there any things that you do that make you stand out?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is a Python decorator, and how would you use it? Provide an example."}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: how do i create a copy of my s3 bucket in a different region?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Wells Fargo\n\n### Response: How do you handle challenging situations and tight deadlines in a fast-paced environment?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Chime\n\n### Response: When would you use a bagging algorithm versus a boosting algorithm?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: How would you create a detailed project plan for a complex, multi-year technology initiative?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: Considering a Long List of Machine Learning Algorithms, given a Data Set, How Do You Decide Which One to Use?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: Which have been your greatest achievements so far."}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: What is your process for cleaning data?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What is the goal of generative models in classification?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: What is an INNER JOIN?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Why have you decided to change your job?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What are different types of t-test?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: How did you handle the situation when you had to assist a colleague in an area outside your responsibilities?"}
{"text":"### Instruction: Generate a Data Analyst interview question\n\n### Response: What are Measures in Tableau?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Mastercard\n\n### Response: Why did you scale your data?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Glider in 2023.0\n\n### Response: Have you ever used any online platform for machine learning like PredictionIO or Azure ML?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: What is your experience with big data platforms, such as Hadoop, Spark, and NoSQL?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: What conditions would you take care of when ingesting lots of Kafka event data and RDBMS data, and how to design an ETL pipeline to capture both streams in near real-time?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: How do you choose a prior in Bayesian analysis? What is the impact of a non-informative prior vs. an informative prior?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: What is the meaning of sensitivity in statistics?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: How does SVM differ from Random Forest?"}
{"text":"### Instruction: Generate a SQL interview question for Glider in 2024.0\n\n### Response: What is an SQL comment?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Are arguments in Python passed by value or by reference?"}
{"text":"### Instruction: Generate a SQL Engineer interview question for Mastercard\n\n### Response: How do you write an SQL query to find the total amount spent per customer for each quarter of 2021?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: How is the Schedule Refresh feature designed to work?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Pico MES\n\n### Response: What types of data would you need?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Nvidia\n\n### Response: can you list the different types of relationships in sql?"}
{"text":"### Instruction: Generate a Data Analyst interview question for PayPal\n\n### Response: Can you give an example of a project you worked on?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: Describe the Python Functions?"}
{"text":"### Instruction: Generate a Data Engineer interview question\n\n### Response: Can you walk me through a recent project you worked on that involved real-time data?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: Give Examples of Data That Doesn't Have a Gaussian Distribution, Nor Log-Normal"}
{"text":"### Instruction: Generate a Data Scientist interview question for Google\n\n### Response: what are the features that affect the performance of the model?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Pico MES\n\n### Response: How do you approach data visualization to communicate your findings effectively?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python namespaces?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Do you have any questions for me?"}
{"text":"### Instruction: Generate a Tableau interview question\n\n### Response: What are groups, sets, and parameters in Tableau?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What is the difference between synchronous and asynchronous programming?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Citigroup\n\n### Response: How would you design a function to detect anomalies in a univariate dataset?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: Define right-skewed and left-skewed distributions. Where would you find the mean and median in these distributions compared to a normal distribution?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are the core skills required for a data analyst?"}
{"text":"### Instruction: Generate a Data Analyst interview question for AWS\n\n### Response: what are the basic syntax and best practices for writing code in sas"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: How do you approach explaining business questions to stakeholders for data analysis?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Salesforce\n\n### Response: suppose there is an array, what would you do to extract the value 8 using 2d indexing?"}
{"text":"### Instruction: Generate a Machine Learning interview question\n\n### Response: What is Ensemble learning?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How would you remove all leading Whitespace in a string?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Mastercard\n\n### Response: Explain the Concept of Feature Engineering."}
{"text":"### Instruction: Generate a All interview question for AWS\n\n### Response: how do you prioritize multiple deadlines?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: What mindset and abilities is an employer looking for in a candidate when asking this question?"}
{"text":"### Instruction: Generate a Deep Learning interview question\n\n### Response: Can you explain the concept of convolutional neural networks (CNNs) and their importance in computer vision?"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: How would you handle a project at Mastercard where the scope needs to be aligned with available resources?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Morgan Stanley\n\n### Response: What is L1 Regularization used for?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: Integrity in relevant business scenarios. Discuss the statistical techniques you would employ to detect anomalies and the need for thorough data cleaning. Mention the significance of using diverse datasets to train models and regularly updating them with new data to reduce bias over time."}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: Define the cross validation process. What is the motivation behind using it?"}
{"text":"### Instruction: Generate a Data Science interview question\n\n### Response: How does Hypothesis Testing help prove statistical Significance?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: explain SQL (joins, union\/union all ,Stored procedures)"}
{"text":"### Instruction: Generate a Data Scientist interview question for Block\n\n### Response: Can you explain the concept of recall and precision in the context of evaluating a machine learning model's performance for fraud detection?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are Python namespaces?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: How do you delete a file in Python?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: how does naive bayes classifier work?"}
{"text":"### Instruction: Generate a Data Analyst interview question for Goldman Sachs\n\n### Response: What's the difference between a left and right join?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: What is the effect of having a high variance on a machine learning model?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: How do you measure performance of computer vision models?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is random forest algorithm"}
{"text":"### Instruction: Generate a All interview question for Mastercard\n\n### Response: How would you manage stakeholder expectations in a high-stakes project?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is the Six sigma in statistic?"}
{"text":"### Instruction: Generate a Data Scientist interview question\n\n### Response: What is selection bias and why is it important?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: Explain the difference between spark vs Hadoop"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for IBM\n\n### Response: what are decision trees?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Google\n\n### Response: what is the difference between k-mean and em?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for AWS\n\n### Response: what is hyperparameter optimization?"}
{"text":"### Instruction: Generate a Data Analyst interview question for IBM\n\n### Response: how would you estimate the best month to offer a discount on shoes?"}
{"text":"### Instruction: Generate a Data Engineer interview question for JPMorgan Chase\n\n### Response: What conditions you will take care of while you are getting lot of events data from Kafka & some data from RDBMS, and how you will design the ETL pipeline to capture these data in near-real time for the Kafka it possible but you can possible if any new data change sin RDBMS how you can get instantly?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SoFi\n\n### Response: What are type I & type II errors in hypothesis testing?"}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are collections? What is the significance of collections in Python?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Robinhood\n\n### Response: Build a model to predict whether a user will cancel account."}
{"text":"### Instruction: Generate a Python interview question\n\n### Response: What are metaclasses in Python, and how would you use them?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Coinbase\n\n### Response: Describe your experience with SQL and database querying. How do you optimize queries for performance when working with large datasets?"}
{"text":"### Instruction: Generate a Data Scientist interview question for SAP\n\n### Response: How would you design a recommendation system for Amazon customers, considering that a single customer may use many devices to logon to a single account?"}
{"text":"### Instruction: Generate a Data Engineer interview question for Pico MES\n\n### Response: At type of data have you worked with in the past?"}
{"text":"### Instruction: Generate a Data Scientist interview question for JPMorgan Chase\n\n### Response: How would you differentiate Bayesian statistics from frequentist statistics?"}
{"text":"### Instruction: Generate a Data Scientist interview question for Coinbase\n\n### Response: What separates batch normalisation from instance normalisation?"}
{"text":"### Instruction: Generate a Machine Learning Engineer interview question for Robinhood\n\n### Response: Is your classifier able to discriminate between fraud and not-fraud effectively?"}