Thirty Cities, One Forecast
A hard Pipeline Design 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
- Pipeline Design
- Difficulty
- hard
- Seniority
- L5
Interview Prompt
Hourly demand forecasts for every station of a bike-share network in 42 cities depend on raw data from each city's systems and from external sources, all in different formats. What pipeline turns that raw data into reliable, model-ready features?
Summary
Five cities. Five data formats. One prediction.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Draw your pipeline on the design canvas: sources, transforms, storage and checks
- Answer the interviewer's follow-up questions, then get a hire or no-hire decision