Structured Query Language (SQL) is the backbone of relational database management systems. From small startups to global enterprises, SQL is used everywhere to manage, query, and manipulate data. Whether you’re applying for a role as a software developer, database administrator, or data analyst, you can expect SQL-related questions in your technical interviews.
This guide brings you the top SQL interview questions and answers for 2025. We’ll cover both basic and advanced topics, along with examples, so you can feel confident when walking into your next interview.
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SQL (Structured Query Language) is a standard language used to interact with relational databases. It allows you to create, read, update, and delete (CRUD) data. SQL is used in popular databases like MySQL, PostgreSQL, Oracle, and SQL Server.
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SQL: A standard language used to manage databases.
MySQL: A database management system (DBMS) that uses SQL as its query language.
So, SQL is the language, and MySQL is the software.
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SQL commands are grouped into categories:
DDL (Data Definition Language): CREATE, ALTER, DROP, TRUNCATE
DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE
DCL (Data Control Language): GRANT, REVOKE
TCL (Transaction Control Language): COMMIT, ROLLBACK, SAVEPOINT
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DELETE: Removes rows from a table (can include WHERE clause).
TRUNCATE: Removes all rows but keeps the table structure intact.
DROP: Removes the entire table and its structure.
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Primary Key: Uniquely identifies each record in a table. Cannot have NULL values.
Foreign Key: A field in one table that refers to the primary key in another table, establishing a relationship between the two tables.
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WHERE: Filters rows before grouping.
HAVING: Filters groups after aggregation.
Example:
SELECT department, COUNT(*)
FROM employees
WHERE salary > 50000
GROUP BY department
HAVING COUNT(*) > 5;
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Joins combine rows from two or more tables based on related columns.
Types of joins:
INNER JOIN: Returns rows with matching values in both tables.
LEFT JOIN: Returns all rows from the left table and matching rows from the right.
RIGHT JOIN: Returns all rows from the right table and matching rows from the left.
FULL JOIN: Returns all rows when there’s a match in either table.
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Normalization is the process of organizing data to reduce redundancy and improve data integrity.
Common forms:
1NF: Atomic values (no repeating groups).
2NF: Must be in 1NF + no partial dependency.
3NF: Must be in 2NF + no transitive dependency.
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Indexes are database objects that improve the speed of data retrieval at the cost of additional storage and slower write operations.
Types:
Clustered Index: Alters the way records are stored (one per table).
Non-clustered Index: Creates a separate structure pointing to the data.
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A subquery is a query within another query.
Example:
SELECT name, salary
FROM employees
WHERE salary > (SELECT AVG(salary) FROM employees);
This finds employees with salaries higher than the average.
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UNION: Combines result sets and removes duplicates.
UNION ALL: Combines result sets but keeps duplicates.
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A stored procedure is a precompiled collection of SQL statements stored in the database. It improves performance and promotes reusability.
Example:
CREATE PROCEDURE GetEmployees
AS
SELECT * FROM employees;
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A trigger is a stored program that automatically executes when a specified event occurs in a database (like INSERT, UPDATE, DELETE).
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A view is a virtual table created using a SQL query. It doesn’t store data itself but displays results based on underlying tables.
Example:
CREATE VIEW HighSalary AS
SELECT name, salary FROM employees WHERE salary > 60000;
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ACID ensures reliable transactions:
Atomicity: All or nothing.
Consistency: Maintains database rules.
Isolation: Transactions don’t interfere with each other.
Durability: Once committed, changes are permanent.
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OLTP (Online Transaction Processing): Handles real-time transactions (e.g., banking).
OLAP (Online Analytical Processing): Handles complex queries for analysis (e.g., business reports).
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ROW_NUMBER(): Unique sequential number for each row.
RANK(): Assigns ranks but skips numbers for ties.
DENSE_RANK(): Assigns ranks without gaps for ties.
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Use indexes wisely.
Avoid SELECT *.
Use joins instead of subqueries where possible.
Analyze execution plans.
Normalize tables to reduce redundancy.
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CTEs are temporary result sets that can be referenced within a query.
Example:
WITH DeptSalary AS (
SELECT department, AVG(salary) AS avg_salary
FROM employees
GROUP BY department
)
SELECT * FROM DeptSalary WHERE avg_salary > 60000;
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Integration with cloud databases like AWS RDS, Azure SQL, Google BigQuery.
SQL + AI/ML pipelines for advanced analytics.
Serverless databases for scalability.
NoSQL + SQL hybrid systems gaining traction.
Automation tools for query optimization.
SQL remains the universal language of data, and mastering it opens doors to countless opportunities in tech. This guide of top SQL interview questions and answers for 2025 is designed to help you prepare for interviews by covering everything from fundamentals to advanced topics.
Whether you’re aiming for a junior developer role or a senior data engineering position, practicing these questions with real-world examples will boost your confidence.
Remember: the best way to learn SQL is through hands-on practice. Set up a sample database, experiment with queries, and test yourself. With preparation and persistence, you’ll ace your next interview.
So next time someone asks you about SQL Interview Questions, you’ll be ready with clear, practical, and confident answers.