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Most Asked SQL Interview Questions


In this post, we will check all the resources that you would require to crack Analytics interview’s SQL round. You can very well cover the syllabus of SQL in 7 days with The Data Monk. Just try to follow the resources below. Also, we cover most asked SQL interview questions so that you can be a very strong candidate for any SQL interview round.

The resources are split into 3 parts

1. SQL Blogs on The Data Monk, we cover the most important concepts as well questions that are asked in the interviews
2. SQL Most important concept videos – We have 40+ videos on Youtube Freely available, these are not simple concepts or basic questions(like in other channels). We only concentrate on the most important concepts with respect to the interview questions
3. SQL 550 Interview Questions e-book bundle – This is the master set of questions, learn it and you will be able to solve more than 90% questions in any SQL round


– SQL Blogs:

Coming soon

– SQL interview questions solved and posted by our 22000+ users:

200+ SQL Interview Questions and Answers freely available


– Complete playlist of SQL

SQL Complete Playlist – Click here

– List of all the Youtube videos

  1. Fetch Duplicate Rows in SQL – https://youtu.be/MGHNrxsHKcg
  2. Like Operator in sql – https://youtu.be/IqMMbH6Jw0w
  3. Substring and Replace in SQL – https://youtu.be/Pzb9tBdXKyc
  4. Aggregate Functions in SQL – https://youtu.be/6H5neKpUz9E
  5. Cumulative Sum in SQL – https://youtu.be/COEEGPXjNbk
  6. Row number() in SQL – https://youtu.be/1actE8UL4yM
  7. Ntile() – https://youtu.be/xbjyXk7oSdY
  8. Rank vs Dense Rank – https://youtu.be/f32Yne_4G00
  9. Where vs Having – https://youtu.be/rtZpbyyQtVk
  10. Lead and Lag – https://youtu.be/U_OQD3XpagQ
  11. Joins – https://youtu.be/_V38OgS1s5M
  12. Keys – https://youtu.be/yPZG6qurO_Q
  13. 1NF and 2NF – https://youtu.be/7CyxIOj9zTs
  14. 3 NF and BCNF – https://youtu.be/VuJ7gnaas5k
  15. Most Asked Interview Questions – https://youtu.be/UGTsPRUIkYg
  16. Odd even rows – https://youtu.be/-tLTAuvHAU0
  17. Delete vs Truncate vs Drop in SQL – https://youtu.be/cSM86aZRhMo
  18. SQL Tricky Analytics Interview Questions – https://youtu.be/MRgZKeYx1NY
  19. Binary Tree in SQL – https://youtu.be/oAD-YUafmB8
  20. Joins Advance Interview Questions – https://youtu.be/pf_RdiCBQw4
  21. Facebook SQL Interview Questions – https://youtu.be/LDYdcH82IO0
  22. Tricky SQL Interview Questions  Part 2 – https://youtu.be/B8Zy9bcqai0



Crack the SQL Interview with 550 Interview Questions

-SQL Most Asked Interview Questions – 250 Questions
– SQL Solved Questions from Leetcode, GFG, Hackerrank, and other websites – 100 Questions
– SQLZoo complete solution – 100 Questions
– ETL and Data Warehouse Questions – 100 questions
– JSON Tutorial in SQL

Additionally, get 800 SQL Questions and SQL cheat sheets that are created by some of the most renowned SQL teachers for free. This is not a proprietor of The Data Monk and we are making this available for your benefit

Link to the SQL e-book

How to buy the e-book?

Read the post here



Most Asked SQL Interview Questions


SQL Complete Road Map

Day 1: SQL Basics

  • Topics to Learn:
    • What is SQL?
    • SQL commands (DDL, DML, DCL, TCL).
    • Basic syntax: SELECT, INSERT, UPDATE, DELETE.
  • Practice:
    • Create a table using CREATE TABLE.
    • Insert sample data into the table.
    • Query the data using SELECT.
  • Resources:

Day 2: Data Retrieval and Filtering

  • Topics to Learn:
    • Filtering data with WHERE, BETWEEN, IN, LIKE.
    • Sorting data with ORDER BY.
    • Removing duplicates using DISTINCT.
  • Practice:
    • Write queries to filter data based on conditions.
    • Sort and retrieve unique data.
  • Tip: Experiment with filtering using numeric, text, and date columns.

Day 3: Joins and Relationships

  • Topics to Learn:
    • Types of joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.
    • Database relationships: Primary and Foreign keys.
  • Practice:
    • Set up two related tables.
    • Write queries using all join types.
    • Explore the difference between matched and unmatched results.
  • Tip: Use visualization tools like dbdiagram.io to understand relationships.

Day 4: Aggregation and Grouping

  • Topics to Learn:
    • Aggregate functions: SUM, AVG, COUNT, MIN, MAX.
    • Grouping data with GROUP BY and filtering groups using HAVING.
  • Practice:
    • Calculate metrics like average salary by department.
    • Identify groups with specific conditions (e.g., departments with more than 5 employees).
  • Tip: Combine aggregate functions with filters to see how results differ.

Day 5: Subqueries and CTEs

  • Topics to Learn:
    • Simple and correlated subqueries.
    • Common Table Expressions (CTEs).
    • Recursive queries.
  • Practice:
    • Write a query to find the second-highest value.
    • Use a CTE to simplify complex queries.
  • Tip: Start with simple subqueries before moving to correlated ones.

Day 6: Advanced SQL and Optimization

  • Topics to Learn:
    • Window functions (ROW_NUMBER, RANK, DENSE_RANK).
    • Indexes and their impact on performance.
    • Query optimization tips.
  • Practice:
    • Write queries using window functions to rank data.
    • Analyze the execution plan for a query.
  • Tip: Use sample datasets from platforms like Kaggle to practice with larger data.

Day 7: Real-World Scenarios and Wrap-Up

  • Topics to Learn:
    • Writing queries for practical scenarios:
      • Finding duplicates.
      • Joining multiple tables.
      • Updating data based on conditions.
    • SQL best practices.
  • Practice:
    • Solve SQL challenges on platforms like HackerRank.
    • Attempt real-world problems using datasets.
  • Tip: Test your skills with interview-style SQL questions.

Final Recommendations

  1. Tools to Use:
    • Install MySQL, PostgreSQL, or use online SQL editors like Mode.
    • Explore free databases like sakila for practice.
  2. Daily Commitment:
    • Spend 2–3 hours daily: 1 hour on learning, 2 hours on practicing.
  3. Stay Consistent:
    • Focus on understanding concepts before diving into advanced topics.

By the end of 7 days, you’ll have a solid grasp of SQL fundamentals, hands-on experience with practical queries, and the confidence to tackle interview questions or real-world scenarios.

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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