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A medium Python mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.

Domain
Python
Difficulty
medium
Seniority
mid

Interview Prompt

A nightly job loads dozens of regional CSV exports into memory as `tables`, each one a list of row dicts. Over the years each region added its own extra columns, so the records no longer line up: combine every row into a single list, keeping only the fields present in every record across all tables and dropping the rest. With no records at all, the result is empty.

Summary

A pile of exports, no two quite alike. Keep only what every record agrees on.

How This Interview Works

  1. Read the vague prompt (just like a real interview)
  2. Ask clarifying questions to the AI interviewer
  3. Write your python solution with real code execution
  4. Get instant feedback and a hire/no-hire decision

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