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?
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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 ...