Scale AI
Medium
Machine Learning EngineerDebug ML pipeline and build text parser
Data Manipulation (SQL/Python)
58
0
September 6, 2025
Aggregation questions test whether you can summarize data at the right grain using GROUP BY and HAVING.
Common themes include COUNT vs COUNT(DISTINCT), conditional aggregation with CASE, and aggregating after joins.
Interviewers look for correct groupings, handling of NULLs, and clear explanation of your logic.
Correct grouping and filtering matter more than micro-optimizations.
Explain your grain, especially when combining joins and aggregates.
Call out assumptions about NULLs and duplicates.