Your question is Deploy Models in Microservices. 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).
Describe your process for deploying a model into a microservices architecture.
Explain how you would package the model, expose inference through an API, manage dependencies and features, release new versions safely, and monitor production behavior. Discuss the decisions you would make for online versus batch inference, scaling, latency, reliability, security, and rollback. Address training-serving skew, feature drift, and how feedback from production returns to the training workflow.