The Middle of the Missing
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
The ML feature store records a null percentage for each feature, though many features were never measured. Among features whose data type is float-based, find the null percentage sitting in the middle of the recorded values.
Summary
Across the float features, how much of the data typically goes missing?
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