Your question is Cloud Deployment of AI Models. 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).
How do you approach the deployment of AI models in a cloud environment?
Explain a practical end-to-end approach for taking a trained model from validation to a production cloud endpoint. Cover packaging, environment reproducibility, model and data validation, API or batch serving, monitoring, security, autoscaling, versioning, and rollback. State how you would measure both model quality and operational reliability, and identify the main risks in production. Your response should distinguish deployment choices such as managed endpoints, containers, and batch jobs.
