Your question is Design ML Inference REST APIs. 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).
You are building a platform that exposes machine learning predictions to multiple product surfaces through HTTP services. Different teams need low-latency online inference, consistent feature access, and safe model rollouts without breaking clients.
How do you design and implement RESTful APIs?