The Email Ranker
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
- L3
Interview Prompt
Given a list of activity records (each a dict with 'user_id' and 'action'), count activities per user_id. Rank users using dense ranking by activity count descending, with ties broken by user_id alphabetically ascending. Return a list of dicts in rank order, each dict containing exactly the keys 'rank', 'user_id', and 'activity_count'.
Summary
Some inboxes see more action.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your python solution with real code execution
- Get instant feedback and a hire/no-hire decision