The Price Bander
An easy Python mock interview question on DataDriven, with an AI interviewer who asks follow-up questions and a hire or no-hire decision at the end.
- 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 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 and run your Python against test cases
- Answer the interviewer's follow-up questions, then get a hire or no-hire decision