Which CPMAI phase is responsible for putting the model into production systems?

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Multiple Choice

Which CPMAI phase is responsible for putting the model into production systems?

Explanation:
Putting a model into production systems is the deployment step. This phase is about operationalizing the model—moving it from development into the real, live environment where it can be served to users, integrated with data pipelines, APIs, and production infrastructure, and configured for production constraints like latency, security, and governance. Deployment creates the production-ready setup, including versioning, monitoring hooks, and rollback plans, so the model can actually operate in the field. After deployment, monitoring takes over to track performance and detect drift, while data understanding and evaluation occur earlier to ensure the model is built on solid data and meets required performance criteria.

Putting a model into production systems is the deployment step. This phase is about operationalizing the model—moving it from development into the real, live environment where it can be served to users, integrated with data pipelines, APIs, and production infrastructure, and configured for production constraints like latency, security, and governance. Deployment creates the production-ready setup, including versioning, monitoring hooks, and rollback plans, so the model can actually operate in the field. After deployment, monitoring takes over to track performance and detect drift, while data understanding and evaluation occur earlier to ensure the model is built on solid data and meets required performance criteria.

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