Recommendations Now, Royalties Later
A medium 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
- medium
- Seniority
- L5
Interview Prompt
How would we build one pipeline that takes the viewing events from our video service, around 200,000 per second at evening peak across thousands of licensed and original titles, and feeds both the recommendation system and the licence reporting that studios are paid from?
Summary
The catalog updated. Did anyone notice?
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