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The Resume Sifter
A medium Python interview practice problem on DataDriven. Write and execute real python code with instant grading.
- Domain
- Python
- Difficulty
- medium
- Seniority
- junior, mid
Problem
Our recruiting pipeline ingests resume URLs in the format 'https://resumes.io/firstname_lastname_id'. The team needs to pull candidate info from new URLs while ignoring people already in the system. Given the URLs and a set of known IDs, extract each candidate's name and ID, returning only the ones we haven't seen before.
Practice This Problem
Solve this Python problem with real code execution. DataDriven runs your Python code in a sandboxed Docker environment and grades it instantly.