100 Must-Know SQL Interview Questions

Structured Query Language (SQL) is a programming language specifically designed to manage, manipulate, and retrieve data stored in relational databases. This blog post is geared towards helping you prepare for tech interviews by providing common SQL interview questions and responses. In the tech industry, understanding SQL is crucial for roles involving database management, data analysis, and backend development. The interview questions that we will discuss will test your grasp of querying, data manipulation, database designing, and more. So, let’s dive into the essential SQL interview Q&As you need to ace your next tech interview.

Content updated: January 1, 2024

SQL Fundamentals


  • 1.

    What is SQL and what is it used for?

    Answer:

    SQL (Structured Query Language) is a domain-specific, declarative programming language designed for managing relational databases. It is the primary language for tasks like data retrieval, data manipulation, and database administration.

    Core Components

    • DDL (Data Definition Language): Used for defining and modifying the structure of the database.
    • DML (Data Manipulation Language): Deals with adding, modifying, and removing data in the database.
    • DCL (Data Control Language): Manages the permissions and access rights of the database.
    • TCL (Transaction Control Language): Governs the transactional management of the database, such as commits or rollbacks.

    Common Database Management Tasks

    Data Retrieval and Reporting: Retrieve and analyze data, generate reports, and build dashboards.

    Data Manipulation: Insert, update, or delete records from tables. Powerful features like Joins and Subqueries enable complex operations.

    Data Integrity: Ensure data conform to predefined rules. Techniques like foreign keys, constraints, and triggers help maintain the integrity of the data.

    Data Security: Manage user access permissions and roles.

    Data Consistency: Enforce ACID properties (Atomicity, Consistency, Isolation, Durability) in database transactions.

    Data Backups and Recovery: Perform database backups and ensure data is restorable in case of loss.

    Data Normalization: Design databases for efficient storage and reduce data redundancy.

    Indices and Performance Tuning: Optimize queries for faster data retrieval.

    Replication and Sharding: Advanced techniques for distributed systems.

    Basic SQL Commands

    • CREATE DATABASE: Used to create a new database.
    • CREATE TABLE: Defines a new table.
    • INSERT INTO: Adds a new record into a table.
    • SELECT: Retrieves data from one or more tables.
    • UPDATE: Modifies existing records.
    • DELETE: Removes records from a table.
    • ALTER TABLE: Modifies an existing table (e.g., adds a new column, renames an existing column, etc.).
    • DROP TABLE: Deletes a table (along with its data) from the database.
    • INDEX: Adds an index to a table for better performance.
    • VIEW: Creates a virtual table that can be used for data retrieval.
    • TRIGGER: Triggers a specified action when a database event occurs.
    • PROCEDURE and FUNCTION: Store database logic for reuse and to simplify complex operations.

    Code Example: Basic SQL Queries

    Here is the SQL code:

    -- Create a database
    CREATE DATABASE Company;
    
    -- Use Company database
    USE Company;
    
    -- Create tables
    CREATE TABLE Department (
        DeptID INT PRIMARY KEY AUTO_INCREMENT,
        DeptName VARCHAR(50) NOT NULL
    );
    
    CREATE TABLE Employee (
        EmpID INT PRIMARY KEY AUTO_INCREMENT,
        EmpName VARCHAR(100) NOT NULL,
        EmpDeptID INT,
        FOREIGN KEY (EmpDeptID) REFERENCES Department(DeptID)
    );
    
    -- Insert data
    INSERT INTO Department (DeptName) VALUES ('Engineering');
    INSERT INTO Department (DeptName) VALUES ('Sales');
    
    INSERT INTO Employee (EmpName, EmpDeptID) VALUES ('John Doe', 1);
    INSERT INTO Employee (EmpName, EmpDeptID) VALUES ('Jane Smith', 2);
    
    -- Select data from database
    SELECT * FROM Department;
    SELECT * FROM Employee;
    
    -- Perform an inner join to combine data from two tables
    SELECT Employee.EmpID, Employee.EmpName, Department.DeptName
    FROM Employee
    JOIN Department ON Employee.EmpDeptID = Department.DeptID;
    
  • 2.

    Describe the difference between SQL and NoSQL databases.

    Answer:
  • 3.

    What are the different types of SQL commands?

    Answer:
  • 4.

    Explain the purpose of the SELECT statement.

    Answer:
  • 5.

    What is the difference between WHERE and HAVING clauses?

    Answer:
  • 6.

    Define what a JOIN is in SQL and list its types.

    Answer:
  • 7.

    What is a primary key in a database?

    Answer:
  • 8.

    Explain what a foreign key is and how it is used.

    Answer:
  • 9.

    How can you prevent SQL injections?

    Answer:
  • 10.

    What is normalization? Explain with examples.

    Answer:
  • 11.

    Describe the concept of denormalization and when you would use it.

    Answer:
  • 12.

    What are indexes and how can they improve query performance?

    Answer:
  • 13.

    Explain the purpose of the GROUP BY clause.

    Answer:
  • 14.

    What is a subquery, and when would you use one?

    Answer:
  • 15.

    Describe the functions of the ORDER BY clause.

    Answer:
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