Design a 200-Terabyte Media Migration and Training Input Pipeline
Last updated: August 10, 2026
Quick Overview
Design a media migration and training input pipeline for transferring 200 terabytes of media data to a processing cluster.
Apple
August 10, 20264
0
48 solved
Design a media migration and training input pipeline for transferring 200 terabytes of media data to a processing cluster.
This question is typically asked during the technical screen round for a Software Engineer position at Apple. The interviewer is evaluating the candidate's ability to clarify requirements, assess bandwidth and cost implications, and identify key architectural decisions. The candidate's approach to designing a scalable and efficient data pipeline is crucial, as it reflects their understanding of system design principles in a machine learning context.
What the Interviewer Expects
- Clarify the requirements and constraints of the migration process.
- Estimate bandwidth and cost implications for the data transfer.
- Identify the need for intermediate storage to decouple the data transfer from the processing.
- Propose a high-level architecture for the pipeline.
- Discuss potential trade-offs and scaling considerations.
Key Topics to Cover
How to Approach This
- Start by mapping the business objective to a concrete ML objective and metric.
- Cover the full pipeline: data collection, feature engineering, model selection, training, serving.
- Discuss online vs offline evaluation. Plan an A/B test to validate real-world impact.
- Address the serving latency budget and whether batch or real-time inference is needed.
- Think about the data flywheel: how user feedback improves the model over time.
Possible Follow-up Questions
- How would you handle data integrity during the migration?
- What strategies would you use for error handling in the pipeline?
- Can you discuss potential bottlenecks in your proposed solution?
Sharpen Your Skills on Codemia
Practice similar problems with our interactive workspace, get AI feedback, and track your progress.
Practice ML System Design ProblemsSample Answer
Requirements Clarification
Before jumping into the design, I would clarify several key aspects of the migration process:
- Data Source: Where is the data currently located? Is it in a local data center, another cloud provi...
High-Level Design
Based on the clarified requirements, I would propose a high-level architecture:
- Data Ingestion: Use a distributed file transfer protocol (like rsync or AWS S3 Transfer Acceleration) to move the ...
Submit Your Answer
