Interview Questions Structured Query Language (SQL) is the standard language used to interact with relational databases. Mainly used to manage data. Whether you want to create, delete, update or read data, SQL provides commands to perform these operations. Widely supported across various database systems like MySQL oracle, PostgreSQL, SQL Server and many others. Mainly works with Relational Databases (data is stored in the form of tables). Covers core concepts like introduction, data types, operators, commands, comments, applications and SQL career path to build a strong foundation Wildcards Operators This section guides you through the process of creating and managing databases. Learn how to create, select, rename and drop databases with practical examples. Tables are the core data structures in databases organizing data into rows and columns. This section covers how to create, modify and manage tables effectively. Master writing SQL queries to interact with and manipulate data stored in your tables. This section covers common query types and operations. INSERT Multiple Rows DELETE Statement DELETE Duplicate Rows Unlock useful ways to filter organize and group your query results. Clauses help you refine your data extraction. SQL Operators refers to the fundamental symbols and keywords within the SQL that enable users to perform various operations. Operators let you build complex query conditions. SQL functions offer an efficient and versatile approach to data analysis. Enhance your queries with built-in functions that manipulate data types and perform calculations. Statistical (Aggregate Functions) Regular Expressions Data Constraints Constraints define rules on data to ensure accuracy, consistency and prevent invalid entries in the database. SQL joins combine data from multiple tables based on related columns to retrieve meaningful results. Focuses on creating and managing views using CREATE, UPDATE, RENAME and DROP VIEW for simplified and secure data access. Improve query performance by creating indexes that speed up data retrieval. Clustered & Non-Clustered Covers nested queries including subqueries, correlated subqueries and nested queries for complex data retrieval. Correlated Subqueries Advanced SQL & Databases Covers advanced concepts like query optimization, complex operations and handling large-scale databases using joins, functions and stored procedures. Database Design & Modeling Includes ER modeling, ER diagrams, mapping to relational models, normalization, functional dependencies and design techniques to build efficient and scalable databases. Entity Relationship Diagrams (ERDs) Mapping from ER Model to Relational Model Introduction of Database Normalization Functional Dependency & Attribute Closure Types of Functional dependencies Rules of Inference Normal Forms in DBMS Denormalization in Databases Database Design Database Security Focuses on protecting databases using SQL injection prevention, encryption, backup and recovery techniques to ensure data safety and integrity. Types of SQL Injection Data Encryption Database Recovery Techniques Restore SQL Server Database From Backup Database Connectivity Explains how applications connect to databases using technologies like ORM, ODM and ODBC for efficient data interaction across programming languages. ORM (Object-Relational Mapping) ODM (Object-Document Mapping) ODBC (Open Database Connectivity) Miscellaneous Topics Explore advanced and useful SQL concepts to deepen your knowledge Pivot and Unpivot

Performance Tuning Stored Procedures Window functions Common Table Expressions Database Tuning Exercises, Interview Questions & Cheat Sheet Provides practice exercises, interview questions and a cheat sheet for quick revision of SQL concepts. Interview Questions SQL Query Interview Questions Latest Trend [2025]: SQL Server 2025 introduces AI-driven features directly within the SQL engine. It supports native vector data types and AI model management, allowing developers to run AI tasks directly in SQL without external tools. Related Articles 30 Days of SQL ( From Basic to Advanced) DBMS Interview Questions Multiple Choice Questions of SQLs Commonly asked DBMS interview questions SQL Interview Questions For Business Analyst Data Types 3 min read Operators 4 min read Commands 5 min read Database Operations 3 min read CREATE TABLE 2 min read SELECT Query 2 min read INSERT INTO 3 min read UPDATE 2 min read DELETE 2 min read WHERE 2 min read Aliases 2 min read Joins 3 min read CROSS JOIN 1 min read Date Functions 2 min read String functions 4 min read NOT NULL Constraint 3 min read PRIMARY KEY 3 min read Count() 4 min read SUM() 2 min read MAX() 3 min read AVG() 2 min read Subquery 4 min read Window Functions 4 min read Stored Procedures 3 min read Triggers 4 min read Performance Tuning 4 min read TRANSACTIONS 4 min read ER Model 9 min read Normalization 5 min read Keys in Relational Model 7 min read SQL Injection 10 min read Data Encryption 3 min read SQL Backup 4 min read ORM in DBMS 5 min read Data Analytics Course 2 min read Placement 360 Course 2 min read DSA and System Design Course 2 min read