The Resume Sifter
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 URLs in the format 'https://resumes.io/firstname_lastname_id' (or 'firstname_id' for single-name variants) and a set existing_ids of known ID strings, return a list of [name_prefix, id] pairs for URLs whose id is NOT in existing_ids, preserving input order. The name_prefix is everything before the LAST underscore; the id is what follows it. Each result pair must be a list of two strings, e.g. ['john_doe', '123'].
Summary
Pull what's useful. Skip what you know.
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