**WHERE**: Filters rows before GROUP BY; cannot use aggregates. **HAVING**: Filters after GROUP BY; can use aggregates. Example: SELECT dept, AVG(salary) FROM employees WHERE hire_date > '2020' GROUP BY dept HAVING AVG(salary) > 50K. WHERE reduces input; HAVING filters groups....
This easy-level SQL question appears frequently in data engineering interviews at companies like Myntra. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
WHERE: Filters rows before GROUP BY; cannot use aggregates. HAVING: Filters after GROUP BY; can use aggregates. Example: SELECT dept, AVG(salary) FROM employees WHERE hire_date > '2020' GROUP BY dept HAVING AVG(salary) > 50K. WHERE reduces input; HAVING filters groups. Performance: Filter in WHERE when possible—fewer rows to aggregate.
Want feedback on your answer?
Paste your answer to this question and our AI Coach scores it, finds gaps, and shows you the FAANG-level version.
Get the most asked SQL questions with expert answers. Instant download.
No spam. Unsubscribe anytime.
Paste your answer and get instant AI feedback with a FAANG-level improved version.
Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.