Your question is Designing an AI Data Pipeline. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What considerations would you take into account when designing a data pipeline for AI?
Discuss source ingestion, batch and streaming processing, data quality, schema evolution, feature and label management, lineage, reproducibility, security, orchestration, and monitoring. Explain how your design would support training datasets, offline evaluation, and production inference while handling failures and reprocessing.
