Your question is Client-Server Data Consistency. 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 strategies do you use to ensure data consistency between the client and server?
Discuss this as an end-to-end system design problem. Cover synchronization, caching, retries, concurrent updates, schema evolution, and consistency between client-visible ML features or predictions and server state. Explain how you would evaluate correctness and detect training-serving or client-serving mismatches.
