SQL Interview Questions and Answers

ZARRIN MEHR Crane
What is Fleet Provisioning API?

Basic SQL Queries:

  • Write a query to retrieve all customers from a Customers table who are located in the city of ‘New York.’

    • SELECT * FROM Customers WHERE city = ‘New York’;
  • Write a SQL query to calculate the total revenue generated by orders in the Orders table.

    • SELECT SUM(order_total) AS total_revenue FROM Orders;
  • Write a query to fetch the second highest salary from the Employees table.

    • SELECT MAX(salary)
      FROM Employees
      WHERE salary < (SELECT MAX(salary) FROM Employees);

Join Operations:

  • Write a query to retrieve all orders and their corresponding customer names using the Orders and Customers tables.

    • SELECT Orders.order_id, Customers.customer_name
      FROM Orders
      INNER JOIN Customers ON Orders.customer_id = Customers.customer_id;
  • Explain the differences between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN. Provide an example of when to use each.

    • INNER JOIN: Returns records that have matching values in both tables.
    • LEFT JOIN: Returns all records from the left table and the matched records from the right table. If there’s no match, NULL is returned.
    • RIGHT JOIN: Returns all records from the right table and the matched records from the left table.
    • FULL OUTER JOIN: Returns all records when there is a match in either the left or right table.

Aggregation Functions and Grouping:

  • Write a query to count the number of orders placed by each customer in the Orders table, and sort the result by the number of orders.

    • SELECT CustomerID, COUNT(OrderID) AS OrderCount
      FROM Orders
      GROUP BY CustomerID
      ORDER BY OrderCount DESC;
  • Write a query to find the maximum, minimum, and average price of products from the Products table grouped by category.

    • SELECT CategoryID, MAX(Price) AS MaxPrice, MIN(Price) AS MinPrice, AVG(Price) AS AvgPrice
      FROM Products
      GROUP BY CategoryID;

Subqueries:

  • Write a query to list all employees whose salaries are above the company’s average salary.

    • SELECT *
      FROM Employees
      WHERE Salary > (SELECT AVG(Salary) FROM Employees);
  • Use a subquery to find the customers who have never placed an order.

    • SELECT *
      FROM Customers
      WHERE CustomerID NOT IN (SELECT CustomerID FROM Orders);

Window Functions:

  • Write a query that ranks employees based on their sales performance within each department.

    • SELECT EmployeeID, DepartmentID, Sales,
      RANK() OVER (PARTITION BY DepartmentID ORDER BY Sales DESC) AS Rank
      FROM Employees;
  • How would you calculate a running total (cumulative sum) of sales for each month in the Sales table?

    • SELECT Month,
      SUM(Sales) OVER (ORDER BY Month ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningTotal
      FROM Sales;

Data Modification:

  • Write a query to update the salary of an employee by 10% in the Employees table.

    • UPDATE Employees
      SET Salary = Salary * 1.10
      WHERE EmployeeID = 123;
  • How would you delete all orders that were placed more than 5 years ago in the Orders table?

    • DELETE FROM Orders
      WHERE OrderDate < DATEADD(YEAR, -5, GETDATE());

Advanced SQL:

  • Write a query that retrieves the top 5 customers with the highest order values.

    • SELECT TOP 5 CustomerID, SUM(TotalAmount) AS TotalSpent
      FROM Orders
      GROUP BY CustomerID
      ORDER BY TotalSpent DESC;
  • Write a query to retrieve the department with the highest average employee salary.

    • SELECT DepartmentID, AVG(Salary) AS AvgSalary
      FROM Employees
      GROUP BY DepartmentID
      ORDER BY AvgSalary DESC
      LIMIT 1;
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