Transaction Source Features

An easy 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
easy
Seniority
L3

Interview Prompt

Our ML feature registry records each feature alongside the source it was computed from. Some features drawn from the user_sessions source were saved without an average value; return those feature names.

Summary

One pipeline reviewed them. What did it see?

How This Interview Works

  1. Read the vague prompt (just like a real interview)
  2. Ask clarifying questions to the AI interviewer
  3. Write and run your SQL against a real database
  4. Answer the interviewer's follow-up questions, then get a hire or no-hire decision