**Common errors**: (1) Non-aggregated column in SELECT without GROUP BY. (2) Aggregate in WHERE instead of HAVING. (3) Alias in WHERE (not yet evaluated). (4) NULL in NOT IN. (5) Missing join condition = Cartesian. (6) Division by zero. (7) Type mismatch. **Debug**: Isolate...
This medium-level SQL question appears frequently in data engineering interviews at companies like Grover. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join, sql) will help you answer variations of this question confidently.
Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.
Common errors: (1) Non-aggregated column in SELECT without GROUP BY. (2) Aggregate in WHERE instead of HAVING. (3) Alias in WHERE (not yet evaluated). (4) NULL in NOT IN. (5) Missing join condition = Cartesian. (6) Division by zero. (7) Type mismatch. Debug: Isolate subqueries; EXPLAIN; validate row counts. Process: Read error message; trace referenced line; check clause order.
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Analyze My Answer β 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.