Your question is DE, ML, AI, and System Design. 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).
Tell me about how you approach system design questions that involve data engineering, machine learning, and AI.
Explain how you clarify requirements, define data contracts, select batch or streaming patterns, and separate ingestion, transformation, storage, serving, and model operations. Address data quality, lineage, orchestration, reproducibility, deployment, monitoring, security, failure recovery, and trade-offs between latency, cost, consistency, and operational complexity. Use a practical example or whiteboard-style design, naming specific technologies where appropriate.