21. Find employees in the IT department earning more than 50000.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
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22. Show the maximum salary in the Marketing department.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
23. List employees who joined in the month of September.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
24. Display employee details by grouping them by department.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
25. Retrieve the last 2 entries in the Employees table.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
26. Select employees with names ending in 'a'.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
27. List employees with a salary that is a multiple of 5000.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
28. Show the employee with the earliest Joining_Date.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
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29. Update the salary of 'Rajesh' to 55000.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
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30. Delete an entry where the Department is 'HR'.
Code In Sql
-- Table Name : Employees
-- ID | Name | Department | Salary | Joining_Date
-- ----+---------+------------+--------+--------------
-- 1 | Rajesh | IT | 50000 | 2020-01-10
-- 2 | Sneha | HR | 45000 | 2019-04-12
-- 3 | Kiran | Finance | 52000 | 2021-08-23
-- 4 | Priya | Marketing | 48000 | 2018-06-15
-- 5 | Arjun | IT | 53000 | 2022-09-19
-- Your Query Here
Run Code?
Click Run Button to view compiled output
