Feature Quality by Source
A medium SQL mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- SQL
- Difficulty
- medium
- Seniority
- L4
Interview Prompt
Find sources in the ML feature store that have both high-null features (null percentage above 20) and low-null features (null percentage below 2). For each qualifying source, count how many different features fall into each bucket. Include sources even if one bucket is empty.
Summary
Quality varies by source.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your sql solution with real code execution
- Get instant feedback and a hire/no-hire decision