<prompt> Etsa moralo oa data bakeng sa ho boloka lirekoto tsa basebetsi ba khamphani.nan  <response>: Instruction in English: Design a data structure for storing a companys employee records. . Response in English: For storing a companys employee records, one could use a database with a table named employees and define it with the following fields:1. employee_id: This would be the primary key and uniquely identify each employee. It can be of datatype Integer and set to automatically increment.2. first_name: This field would store the employees first name. It can be of datatype String.3. last_name: This field would store the employees last name. It can be of datatype String.4. date_of_birth: This field would store the employees date of birth. It can be of datatype Date.5. hire_date: This field would store the employees hiring date. It can be of datatype Date.6. job_title: This field would store the employees job title. It can be of datatype String.7. department: This field would store the employees department. It can be of datatype String.8. salary: This field would store the employees salary. It can be of datatype Float.9. email: This field would store the employees email address. It can be of datatype String.10. phone_number: This field would store the employees phone number. It can be of datatype String.This data structure allows for efficient storage and retrieval of employee records, and offers flexibility in terms of adding, updating, and deleting records. The records can easily be queried, sorted, and filtered based on various fields such as department, salary, job title, among others. . Response in Sesotho: Bakeng sa ho boloka lirekoto tsa basebetsi ba khamphani, motho a ka sebelisa polokelo ea boitsebiso e nang le tafole e bitsoang bahiruoa me a e hlalosa ka likarolo tse latelang: 1. id_ya_mosebetsi: Ena e tla ba senotlolo sa mantlha le ho khetholla mosebeletsi e mong le e mong ka tsela e ikhethang. E ka ba ea datatype Integer mme e behiloe hore e ikemisetse ka bo eona. 2. First_name: Sebaka sena se tla boloka lebitso la mohiruoa. E ka ba ea datatype String. 3. last_name: Sebaka sena se tla boloka sefane sa mosebeletsi. E ka ba ea datatype String. 4. letsatsi_la_tsa_tsoalo: Sebaka sena se tla boloka letsatsi la tsoalo la mosebeletsi. E ka ba ea datatype Date. 5. hire_date: Sebaka sena se tla boloka letsatsi la ho hira ha mosebeletsi. E ka ba ea datatype Date. 6. mosebetsi_title: Sebaka sena se ne se tla boloka lengolo la mosebetsi la mohiruoa. E ka ba ea datatype String. 7. lefapha: Lekala lena le ne le tla boloka lefapha la mosebetsi. E ka ba ea datatype String. 8. moputso: Lekala lena le ne le tla boloka moputso oa mohiruoa. E ka ba ea mofuta oa data Float. 9. imeile: Sebaka sena se tla boloka aterese ea lengolo-tsoibila la mohiruoa. E ka ba ea datatype String. 10. Nomoro_ya_mohala: Sebaka sena se tla boloka nomoro ya mohala ya mohiruwa. E ka ba ea datatype String. Sebopeho sena sa data se lumella ho boloka hantle le ho khutlisa litlaleho tsa basebetsi, me se fana ka maemo a fetohang mabapi le ho eketsa, ho ntlafatsa le ho hlakola litlaleho. Lirekoto li ka botsoa habonolo, tsa hlophisoa le ho hlophisoa ho latela likarolo tse fapaneng tse kang lefapha, moputso, tlotla ea mosebetsi, hara tse ling. 