Your question is Microservices in AI Architecture. 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).
Explain your strategy for managing microservices in an AI-heavy architecture.
Discuss how you would define service boundaries, separate synchronous inference from asynchronous ML workflows, manage model and feature dependencies, and handle reliability, deployment, observability, and failure recovery. Address training-serving skew, feature drift, model versioning, and operational tradeoffs. Ask clarifying questions where workload, latency, compliance, or availability requirements are unspecified.
