Questions Premium Learning Careers

Master your tech interviews with 5000+ real questions from top companies.

Product

Questions
Learning Tracks
Premium
Careers

Community

Join Discord
Instagram
YouTube

Support

support@prachub.com
(916) 541-4762

Legal

Privacy Policy
Terms of Service
About Us

© 2026 PracHub. All rights reserved.

SQL HAVING Clause Interview Questions (2025)

Home
/
Topics
/
SQL Data Manipulation Interview Questions
/
SQL HAVING Clause Interview Questions

SQL HAVING Clause Interview Questions

HAVING questions test your ability to filter aggregated data, a critical skill that goes beyond basic GROUP BY.

Expect questions combining GROUP BY, aggregates (SUM, COUNT, AVG), and HAVING conditions.

Interviewers evaluate whether you understand the difference between WHERE and HAVING, and proper ordering of clauses.

571Questions

96Companies

Easy 31 • Medium 539 • Hard 0Difficulty mix

Common SQL HAVING interview patterns

Filtering groups with HAVING vs filtering rows with WHERE
HAVING with COUNT, SUM, AVG, and other aggregates
TOP N per group using HAVING with aggregates
Multiple conditions in HAVING clauses
HAVING with complex aggregate expressions
Combining GROUP BY, WHERE, and HAVING in the correct order

SQL HAVING clause interview questions

Filter and sort

Sort

All SQL questions

Understand SQL Aggregations and Joins: Key Differences Explained

Data Manipulation (SQL/Python)

Identify Top Spenders and Segment Customers Using Python

Data Manipulation (SQL/Python)

Clean and Aggregate Transactions for Finance Dashboard

Data Manipulation (SQL/Python)

Analyze User Engagement with SQL Queries

Data Manipulation (SQL/Python)

Calculate Video Call Usage Metrics by Country and Date

Data Manipulation (SQL/Python)

Identify Users Interested in Group Video Calls

Data Manipulation (SQL/Python)

Determine Tutorial Completion Rate by Variant in 7 Days

Data Manipulation (SQL/Python)

Identify Unique Callers and French Customer Call Percentage

Data Manipulation (SQL/Python)

Design Incremental Load Process for Large Relational Table

Data Manipulation (SQL/Python)

Understand SQL: DELETE vs TRUNCATE, VIEW vs TABLE, CROSS JOIN

Data Manipulation (SQL/Python)

Calculate User Deviation from Team Average Messages

Data Manipulation (SQL/Python)

OneMain Financial

Count, Return, Find, and Select in SQL Queries

Data Manipulation (SQL/Python)

Analyze User Flags and Review Outcomes for Moderation Prioritization

Data Manipulation (SQL/Python)

Calculate Weekly, Monthly Watch Hours for Paid Users

Data Manipulation (SQL/Python)

Calculate Total Spend and Identify Key User Metrics

Data Manipulation (SQL/Python)

Implement Left Join Using Python Dictionaries Efficiently

Data Manipulation (SQL/Python)

Explore Subscription Patterns and Status Transitions with SQL/Pandas

Data Manipulation (SQL/Python)

Analyze Ad CTR and Convert Transactions to USD

Data Manipulation (SQL/Python)

Clean and Analyze User Transactions with Python Functions

Data Manipulation (SQL/Python)

Analyze Streaming Data with SQL for Monthly Trends

Data Manipulation (SQL/Python)

PreviousPage 2 of 29Next

Common mistakes with HAVING

Using WHERE instead of HAVING to filter aggregates
Incorrect clause ordering (HAVING before GROUP BY)
Aggregating already-aggregated values in HAVING
Confusion between row-level filters (WHERE) and group-level filters (HAVING)
Not considering NULL values in aggregate conditions

How HAVING questions are evaluated in interviews

Understanding the execution order of clauses is key.

Explain why WHERE filters rows but HAVING filters groups.

Demonstrate correct aggregate function usage in filtering contexts.

Related SQL concepts

SQL aggregation interview questions
SQL JOIN interview questions
SQL window function interview questions
SQL CASE WHEN interview questions

SQL HAVING Clause Interview FAQs

What is the difference between WHERE and HAVING?

WHERE filters individual rows before aggregation occurs. HAVING filters groups after aggregation. You use WHERE to exclude rows from being aggregated, and HAVING to exclude groups from the final result.

Can you use HAVING without GROUP BY?

Some databases allow it, treating the entire result set as one group. However, this is generally considered non-standard and not recommended. Always pair HAVING with GROUP BY for clarity and portability.