How would you design a production-grade Azure ML MLOps reference architecture from ingestion to monitoring?

A production-grade Azure ML MLOps architecture includes data ingestion pipelines, feature engineering, training pipelines, model registry, CI/CD automation, managed deployments, and continuous monitoring with drift detection.

A full MLOps reference architecture in Azure ML is designed to operationalize machine learning systems at scale with reliability, governance, and automation.

The architecture typically consists of layered components:

3.…