The Price Bander
A easy Python mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Python
- Difficulty
- easy
- Seniority
- L4
Interview Prompt
A catalog service segments products into price brackets before it renders them. Given `prices`, a dict mapping product names to prices, return a new dict mapping each name to its bracket: 'low' for anything under 10, 'mid' for anything under 50, and 'high' otherwise.
Summary
Different prices, different treatment.
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