Your question is ML Serving Latency Availability and Failure Handling. 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).
How do you ensure high availability and performance in a distributed microservices environment?
Discuss this in the context of an end-to-end ML serving platform with retrieval, ranking, and re-ranking services. Explain how you would clarify workload requirements, design online and batch components, set latency and availability objectives, handle failures and overload, and monitor training-serving consistency.