Your question is Deploying Models at Scale. 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).
What are the key considerations when deploying a model at scale?
Explain how you would move a trained model into reliable production service. Address model packaging, online and batch serving, latency and throughput, horizontal scaling, versioning, monitoring, data and concept drift, rollback, retraining, security, and cost. Include a practical implementation outline and specify which offline and production metrics you would track.