The software engineers have decided to use AWS CodePipeline to manage their build and deployment process. Which solution will meet these requirements?
A. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy
B. Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Deploy in a blue/green deployment using AWS CodeDeploy.
C. Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS Code Build to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy.
D. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy
Answer:B
The software engineers have decided to use AWS CodePipeline to manage their build and deployment process. Which solution will meet these requirements?
A. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy B. Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Deploy in a blue/green deployment using AWS CodeDeploy. C. Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS Code Build to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy. D. Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy