SKILL booster PRO

03/10/2026

🎯 SQL Interview Question: Find Employees Who Joined in the Last 30 Days
Date-based filtering is a very common SQL interview topic, especially in HR, sales, subscription, and user activity datasets.
In this reel, you’ll learn how to filter employees whose joining date falls within the last 30 days using SQL date logic.
💡 Core idea: compare the employee’s join_date with the date calculated as current date minus 30 days.
👀 Interview Twist:
How would you change the query to find employees who joined in the previous calendar month instead of the last 30 days?
💬 Write your answer in the comments.
🔖 Save this reel for SQL interview revision.
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01/10/2026

🎯 SQL Interview Question: Find Employees Whose Names Start With “A”
A simple-looking SQL question can still test whether you understand pattern matching properly.
In this reel, you’ll learn how to find employees whose names begin with the letter A using the SQL LIKE operator and the % wildcard.
💡 Example logic:
A% means the value must start with A, followed by any number of characters.
👀 Interview Twist:
How would you find employees whose names end with “a” instead?
💬 Write your answer in the comments.
🔖 Save this reel for SQL interview revision.
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02/09/2026

28/08/2026

🎯 SQL Interview Question: Delete Duplicate Rows but Keep One

Duplicate records can quietly create reporting errors, incorrect counts, and messy datasets. In this reel, you’ll learn a clean SQL approach to remove duplicate rows while keeping one valid record.

The key concept is using ROW_NUMBER() to number duplicate records within each group, then keeping the first row and removing the rest.

👀 Interview Twist:
What if you want to keep the latest record instead of the oldest one?

💬 Write your answer in the comments.
🔖 Save this reel for SQL interview revision.
📌 Follow Skill Booster Pro for more SQL, Data Analytics and interview questions.

28/08/2026

🎯 SQL Interview Question: Find Duplicate Email Addresses

Duplicate records are a very common real-world data problem — and a favorite SQL interview topic.

In this reel, you’ll learn how to identify repeated email addresses using GROUP BY, COUNT(), and HAVING.

💡 The key idea: group the records by email and keep only those groups where the count is greater than 1.

👀 Interview Twist:
How would you return the full duplicate rows, not just the repeated email address?

💬 Write your answer in the comments.
🔖 Save this reel for SQL interview revision.
📌 Follow Skill Booster Pro for more SQL and Data Analytics interview questions.

27/08/2026

🎯 SQL Interview Question: Find the Nth Highest Salary

Finding the Nth highest salary is a classic SQL interview problem that checks your understanding of window functions, ranking and duplicate values.

In this reel, you’ll see how DENSE_RANK() can be used to rank salaries correctly — even when multiple employees have the same salary.

💡 Key concept:
DENSE_RANK() assigns the same rank to duplicate salaries without skipping the next rank.

👀 Interview Twist:
What would change if you used RANK() instead of DENSE_RANK()?

💬 Write your answer in the comments.
🔖 Save this reel for your SQL interview preparation.
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26/08/2026

Can you solve this SQL interview question in 45 seconds?

Finding the 2nd highest salary is one of the most common SQL interview questions — and it tests whether you really understand filtering, aggregation, and nested queries.

In this reel, we break the logic down step by step and show a simple solution using MAX().

But there’s a twist 👀
What happens when multiple employees have the same highest salary?

💬 Write your answer in the comments.
🔖 Save this reel for interview revision.
📌 Follow Skill Booster Pro for more quick SQL, Excel, Power BI and Data Analytics interview questions.

24/08/2026

https://youtu.be/eLEj40i0ZvY

In this video, we cover SQL WHERE vs HAVING clause ex*****on order,...

24/08/2026

WHERE vs HAVING ...