The Hourly Bucket
A medium 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
- medium
- Seniority
- L4
Interview Prompt
We have a list of event records, each with an ISO timestamp under 'ts' and an event 'type'. Bucket them by the hour they happened in, returning each hour mapped to the event types that fell into it.
Summary
Timestamps belong somewhere.
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