The Middle of the Missing
A medium SQL mock interview question on DataDriven, with an AI interviewer who asks follow-up questions and a hire or no-hire decision at the end.
- Domain
- SQL
- Difficulty
- medium
- Seniority
- L4
Interview Prompt
The ML feature store records a null percentage for each feature. 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 and run your SQL against a real database
- Answer the interviewer's follow-up questions, then get a hire or no-hire decision