SQL JOIN Interview Questions
SQL JOIN questions test whether you can combine data across tables while preserving the right grain and relationships. Expect INNER, LEFT, RIGHT, CROSS, and FULL OUTER JOINs, plus multi-table joins and JOIN + aggregation patterns.
Common SQL JOIN interview patterns
- INNER vs LEFT JOIN logic
- Anti-joins (find missing records)
- Self-joins for comparisons within a table
- JOIN + GROUP BY for aggregated results
- Conditional joins with additional predicates
- Multi-key joins across composite keys
- Deduplication using JOINs
SQL JOIN interview questions
Calculate Total Revenue in USD Using SQL Query
Monitor Friend-Request System for Quality and Abuse
Identify Top-3 Users by Recent Total Spend
Understand SQL Aggregations and Joins: Key Differences Explained
Analyze User Engagement with SQL Queries
Calculate Video Call Usage Metrics by Country and Date
Determine Tutorial Completion Rate by Variant in 7 Days
Understand SQL: DELETE vs TRUNCATE, VIEW vs TABLE, CROSS JOIN
Calculate Total Spend and Identify Key User Metrics
Analyze User Flags and Review Outcomes for Moderation Prioritization
Analyze Ad CTR and Convert Transactions to USD
Retrieve Top Five Ads by Conversions in 30 Days
List Departments with Student Counts Including Zero
Analyze Streaming Data with SQL for Monthly Trends
Identify SQL Joins and Correct Query Errors
Determine Top Advertisers by Conversion Rate and CTR Analysis
Implement Left Join Using Python Dictionaries Efficiently
Design SQL Query for Shop Visibility and User Activity Metrics
Sample and Simulate Price Adjustments in R with dplyr
Common mistakes with SQL JOINs
- JOIN explosion from many-to-many relationships
- Filtering in WHERE instead of ON for LEFT JOINs
- Incorrect NULL handling on optional joins
- COUNT(*) vs COUNT(column) confusion
- Duplicate rows after joins
How JOIN questions are evaluated in interviews
Correctness beats performance; the right result set matters most.
Explain your join keys, assumptions, and how NULLs are treated.
Reasoning and clarity matter more than memorized syntax.
Related SQL concepts
SQL JOIN Interview FAQs
What is the difference between INNER JOIN and LEFT JOIN in interviews?
INNER JOIN returns only matching rows from both tables, while LEFT JOIN keeps all rows from the left table and fills unmatched right rows with NULLs. Interviewers often test whether you choose the correct join for required vs optional relationships.
When should I use a subquery instead of a JOIN?
Use a subquery when you need to filter or aggregate before joining, or when a correlated condition is clearer. JOINs are better for combining row-level data, while subqueries can simplify multi-step logic.