Your question is Explain a Production ML 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).
You are discussing an ML system you have built for a user-facing product. The system makes personalized decisions in production and depends on data pipelines, model training, online inference, and monitoring.
Can you explain the architecture of a system you have worked on?