600+ Sql Interview Questions

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600+ Sql Interview Questions
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 155.73 MB | Duration: 3h 7m
Get ready for an SQL interview: 600+ Real-world SQL questions and practical answers.
What you'll learn

Master SQL Fundamentals
Write Complex SQL Queries
Learn how to use Joins, Subqueries, Common Table Expressions (CTEs), and Aggregations effectively
Work with Indexing & Performance Tuning
Learn SQL Functions & Stored Procedures
Prepare with Video-Based Revisions & Hands-on Exercises
Strengthen your understanding with revision lectures and practical coding exercises for interview success
Requirements
This course is suitable for learners with basic SQL knowledge who want to strengthen their skills and prepare for SQL Developer interviews.
Description
Mastering SQL Developer Interviews: 600+ Real-World Questions & AnswersCourse Description:Are you preparing for an SQL Developer interview? This course is designed to help you master SQL concepts with 600+ real-world SQL interview questions and practical answers. Whether you're a beginner or an experienced professional, this course covers everything from fundamental SQL queries to advanced database concepts to help you excel in your interview.What You'll Learn: SQL Fundamentals - Joins, Subqueries, Normalization, Indexing, and Transactions Database Design & Optimization - Best practices for handling large datasets Advanced Concepts - Common Table Expressions (CTEs), Triggers, Stored Procedures Hands-on Practice - Real-world SQL challenges with expert solutions Interview Strategies - Avoid common pitfalls and showcase your SQL skills effectivelyCourse Highlights: Video lectures for revision - Quickly review key concepts before your interview Comprehensive Q&A discussions - 600+ real-world SQL questions with detailed explanations Practical Examples & Exercises - Strengthen your SQL skills with hands-on learningFew Sample Interview Questions Covered:Database Design & Normalization What is normalization? How do you implement normalization? What is denormalization? OLTP vs. OLAP - What's the difference? Explain the 1st, 2nd, and 3rd Normal Forms.Keys, Data Types & Indexing Primary Key vs. Unique Key Char vs. Varchar - Key Differences Char vs. NChar - How do they differ? What is the size difference between Char and NChar? What is an Index, and how does it speed up search operations?Joins & Queries What are the different types of Indexes? Clustered vs. Non-Clustered Index - When to use which? What are Inner Joins, Left Joins, Right Joins, and Cross Joins? What is UNION, and how does it differ from UNION ALL?SQL Functions & Performance Optimization What are Triggers, and why are they used? What are the types of Triggers? Functions vs. Stored Procedures - What's the difference? How do transactions work in SQL, and how do you implement them?Subqueries & CTEs What is a Subquery? Can it return multiple results? How do Subqueries compare to Joins in terms of performance? What is a Common Table Expression (CTE), and why is it useful? Can we execute a CTE multiple times?Finding the Nth Highest Salary & Advanced SQL Concepts How do you find the Nth highest salary in SQL? What are the different methods to achieve this using correlated queries and T-SQL?Who This Course Is For: Aspiring SQL Developers & Data Analysts Software Engineers working with databases Anyone preparing for SQL job interviewsWith engaging video lectures and 600+ SQL interview questions, this course will boost your confidence and help you ace your next SQL Developer interview. Enroll now and take the next step in your career!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Basic SQL Commands
Lecture 2 SQL Examples
Lecture 3 Data Types
Lecture 4 Questions: Data Types
Lecture 5 Revise: Aggregate Functions
Lecture 6 Aggregate Functions
Lecture 7 Questions: Aggregate Functions
Lecture 8 Revise: Distinct
Lecture 9 Distinct
Lecture 10 Questions: String Functions
Lecture 11 Questions: Date
Lecture 12 Questions: Cast
Lecture 13 Revise: Alias
Lecture 14 Questions: Limit and Offset
Section 3: Filter
Lecture 15 Understanding Filtering
Lecture 16 Revise: String
Lecture 17 Revise: Integer
Lecture 18 Questions: Basic Filtering
Lecture 19 Revise: Like
Lecture 20 Revise: Like Experiments
Lecture 21 Questions: Like Filtering
Lecture 22 Revise: Boolean
Lecture 23 Questions: Boolean
Lecture 24 Questions: NULLs
Lecture 25 Questions: Inner Queries
Lecture 26 Revise: Between
Lecture 27 Revise: Between Experiments
Section 4: Basic Group By
Lecture 28 Group By in SQL?
Lecture 29 Questions: Group By
Section 5: Union, Intersect and Sub-Queries
Lecture 30 Questions: Union
Lecture 31 Questions: Union All
Lecture 32 Questions: Intersect
Lecture 33 Questions: Sub-Queries
Section 6: Sorting
Lecture 34 Questions: Order By
Section 7: Window Functions
Lecture 35 Questions: Window Functions
Lecture 36 Questions: Ranking Functions
Lecture 37 Questions: Analytical Functions
Lecture 38 Recursive Queries with CTEs
Lecture 39 Pivot and Unpivot
Lecture 40 JSON and XML Handling in SQL
Lecture 41 Full-Text Search
Section 8: Views & Indexes
Lecture 42 Questions: Views
Lecture 43 Questions: Indexes
Lecture 44 Creating and Using Indexes
Lecture 45 Clustered vs. Non-clustered Indexes
Lecture 46 Query Execution Plans
Lecture 47 Performance Tuning Techniques
Section 9: Advanced Questions
Lecture 48 Questions: Default Constraints
Lecture 49 Questions: Conditional Functions
Section 10: SQL Joins
Lecture 50 Outer Join
Lecture 51 Questions: Outer Join
Lecture 52 Right Join
Lecture 53 Questions: Right Join
Lecture 54 Inner Join
Lecture 55 Questions: Inner Join
Lecture 56 Left Join
Lecture 57 Questions: Left Join
Lecture 58 Cross Join
Lecture 59 Questions: Cross Join
Lecture 60 Self Join
Lecture 61 Questions: Self Join
Section 11: SQL Keys
Lecture 62 Primary Keys
Lecture 63 Questions: Primary Keys
Lecture 64 Foreign Key
Lecture 65 Questions: Foreign Key
Lecture 66 Unique Constraint
Lecture 67 Questions: Unique Constraint
Lecture 68 Not Null Constraint
Lecture 69 Questions: Not Null Constraint
Lecture 70 Check Constraint
Lecture 71 Questions: Check Constraint
Lecture 72 Default Values
Lecture 73 Questions: Default Values
Section 12: Data Manipulation and ETL
Lecture 74 Bulk Insert and Update
Lecture 75 Questions: Bulk Insert and Update
Lecture 76 Data Import/Export (Copy, Load Data Infile)
Lecture 77 Questions: Data Import/Export (Copy, Load Data Infile)
Lecture 78 Working with CSV, JSON, and XML data
Lecture 79 Questions: Working with CSV, JSON, and XML data
Section 13: NoSQL and NewSQL Concepts
Lecture 80 Differences between SQL and NoSQL
Lecture 81 Questions: Differences between SQL and NoSQL
Lecture 82 Working with JSON data in PostgreSQL, MySQL, and SQL Server
Lecture 83 Questions: Working with JSON data in PostgreSQL, MySQL, and SQL Server
Lecture 84 SQL in Big Data (Google BigQuery, Apache Hive, etc.)
Lecture 85 Questions: SQL in Big Data (Google BigQuery, Apache Hive, etc.)
Aspiring SQL Developers, Data Analysts, and Database Administrators,Software Engineers working with databases,Students preparing for SQL job interviews
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600+ Sql Interview Questions
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 155.73 MB | Duration: 3h 7m​

Get ready for an SQL interview: 600+ Real-world SQL questions and practical answers.

What you'll learn

Master SQL Fundamentals

Write Complex SQL Queries

Learn how to use Joins, Subqueries, Common Table Expressions (CTEs), and Aggregations effectively

Work with Indexing & Performance Tuning

Learn SQL Functions & Stored Procedures

Prepare with Video-Based Revisions & Hands-on Exercises

Strengthen your understanding with revision lectures and practical coding exercises for interview success

Requirements

This course is suitable for learners with basic SQL knowledge who want to strengthen their skills and prepare for SQL Developer interviews.

Description

Mastering SQL Developer Interviews: 600+ Real-World Questions & AnswersCourse Description:Are you preparing for an SQL Developer interview? This course is designed to help you master SQL concepts with 600+ real-world SQL interview questions and practical answers. Whether you're a beginner or an experienced professional, this course covers everything from fundamental SQL queries to advanced database concepts to help you excel in your interview.What You'll Learn: SQL Fundamentals - Joins, Subqueries, Normalization, Indexing, and Transactions Database Design & Optimization - Best practices for handling large datasets Advanced Concepts - Common Table Expressions (CTEs), Triggers, Stored Procedures Hands-on Practice - Real-world SQL challenges with expert solutions Interview Strategies - Avoid common pitfalls and showcase your SQL skills effectivelyCourse Highlights: Video lectures for revision - Quickly review key concepts before your interview Comprehensive Q&A discussions - 600+ real-world SQL questions with detailed explanations Practical Examples & Exercises - Strengthen your SQL skills with hands-on learningFew Sample Interview Questions Covered:Database Design & Normalization What is normalization? How do you implement normalization? What is denormalization? OLTP vs. OLAP - What's the difference? Explain the 1st, 2nd, and 3rd Normal Forms.Keys, Data Types & Indexing Primary Key vs. Unique Key Char vs. Varchar - Key Differences Char vs. NChar - How do they differ? What is the size difference between Char and NChar? What is an Index, and how does it speed up search operations?Joins & Queries What are the different types of Indexes? Clustered vs. Non-Clustered Index - When to use which? What are Inner Joins, Left Joins, Right Joins, and Cross Joins? What is UNION, and how does it differ from UNION ALL?SQL Functions & Performance Optimization What are Triggers, and why are they used? What are the types of Triggers? Functions vs. Stored Procedures - What's the difference? How do transactions work in SQL, and how do you implement them?Subqueries & CTEs What is a Subquery? Can it return multiple results? How do Subqueries compare to Joins in terms of performance? What is a Common Table Expression (CTE), and why is it useful? Can we execute a CTE multiple times?Finding the Nth Highest Salary & Advanced SQL Concepts How do you find the Nth highest salary in SQL? What are the different methods to achieve this using correlated queries and T-SQL?Who This Course Is For: Aspiring SQL Developers & Data Analysts Software Engineers working with databases Anyone preparing for SQL job interviewsWith engaging video lectures and 600+ SQL interview questions, this course will boost your confidence and help you ace your next SQL Developer interview. Enroll now and take the next step in your career!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Basic SQL Commands

Lecture 2 SQL Examples

Lecture 3 Data Types

Lecture 4 Questions: Data Types

Lecture 5 Revise: Aggregate Functions

Lecture 6 Aggregate Functions

Lecture 7 Questions: Aggregate Functions

Lecture 8 Revise: Distinct

Lecture 9 Distinct

Lecture 10 Questions: String Functions

Lecture 11 Questions: Date

Lecture 12 Questions: Cast

Lecture 13 Revise: Alias

Lecture 14 Questions: Limit and Offset

Section 3: Filter

Lecture 15 Understanding Filtering

Lecture 16 Revise: String

Lecture 17 Revise: Integer

Lecture 18 Questions: Basic Filtering

Lecture 19 Revise: Like

Lecture 20 Revise: Like Experiments

Lecture 21 Questions: Like Filtering

Lecture 22 Revise: Boolean

Lecture 23 Questions: Boolean

Lecture 24 Questions: NULLs

Lecture 25 Questions: Inner Queries

Lecture 26 Revise: Between

Lecture 27 Revise: Between Experiments

Section 4: Basic Group By

Lecture 28 Group By in SQL?

Lecture 29 Questions: Group By

Section 5: Union, Intersect and Sub-Queries

Lecture 30 Questions: Union

Lecture 31 Questions: Union All

Lecture 32 Questions: Intersect

Lecture 33 Questions: Sub-Queries

Section 6: Sorting

Lecture 34 Questions: Order By

Section 7: Window Functions

Lecture 35 Questions: Window Functions

Lecture 36 Questions: Ranking Functions

Lecture 37 Questions: Analytical Functions

Lecture 38 Recursive Queries with CTEs

Lecture 39 Pivot and Unpivot

Lecture 40 JSON and XML Handling in SQL

Lecture 41 Full-Text Search

Section 8: Views & Indexes

Lecture 42 Questions: Views

Lecture 43 Questions: Indexes

Lecture 44 Creating and Using Indexes

Lecture 45 Clustered vs. Non-clustered Indexes

Lecture 46 Query Execution Plans

Lecture 47 Performance Tuning Techniques

Section 9: Advanced Questions

Lecture 48 Questions: Default Constraints

Lecture 49 Questions: Conditional Functions

Section 10: SQL Joins

Lecture 50 Outer Join

Lecture 51 Questions: Outer Join

Lecture 52 Right Join

Lecture 53 Questions: Right Join

Lecture 54 Inner Join

Lecture 55 Questions: Inner Join

Lecture 56 Left Join

Lecture 57 Questions: Left Join

Lecture 58 Cross Join

Lecture 59 Questions: Cross Join

Lecture 60 Self Join

Lecture 61 Questions: Self Join

Section 11: SQL Keys

Lecture 62 Primary Keys

Lecture 63 Questions: Primary Keys

Lecture 64 Foreign Key

Lecture 65 Questions: Foreign Key

Lecture 66 Unique Constraint

Lecture 67 Questions: Unique Constraint

Lecture 68 Not Null Constraint

Lecture 69 Questions: Not Null Constraint

Lecture 70 Check Constraint

Lecture 71 Questions: Check Constraint

Lecture 72 Default Values

Lecture 73 Questions: Default Values

Section 12: Data Manipulation and ETL

Lecture 74 Bulk Insert and Update

Lecture 75 Questions: Bulk Insert and Update

Lecture 76 Data Import/Export (Copy, Load Data Infile)

Lecture 77 Questions: Data Import/Export (Copy, Load Data Infile)

Lecture 78 Working with CSV, JSON, and XML data

Lecture 79 Questions: Working with CSV, JSON, and XML data

Section 13: NoSQL and NewSQL Concepts

Lecture 80 Differences between SQL and NoSQL

Lecture 81 Questions: Differences between SQL and NoSQL

Lecture 82 Working with JSON data in PostgreSQL, MySQL, and SQL Server

Lecture 83 Questions: Working with JSON data in PostgreSQL, MySQL, and SQL Server

Lecture 84 SQL in Big Data (Google BigQuery, Apache Hive, etc.)

Lecture 85 Questions: SQL in Big Data (Google BigQuery, Apache Hive, etc.)

Aspiring SQL Developers, Data Analysts, and Database Administrators,Software Engineers working with databases,Students preparing for SQL job interviews

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