Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 84 discussion

The question asks for a "central catalog" so I believe metadata, lineage tracking are also "included". ECR could not be the solution.

🔑 Keyword: Central catalog for ML models across AWS accounts, models stored in ECR ✅ Correct Answer: C. Use the Amazon SageMaker Model Registry to create a model group for models hosted in Amazon ECR. Create a new AWS account. In the new account, use the SageMaker Model Registry as the central catalog. Attach a cross-account resource policy to each model group in the initial AWS accounts. Why? SageMaker Model Registry provides a central catalog for ML models, supporting cross-account access. Cross-account resource policies enable access to models across AWS accounts. Why Others Are Wrong? ❌ A. ECR cross-account replication does not create a centralized catalog. ❌ B. A new ECR repository with replication does not offer model versioning or governance. ❌ D. AWS Glue Data Catalog is for metadata storage, not for ML model management.

This approach allows you to centralize all models in a single ECR repository, making it easier to manage and access them across different AWS accounts. Cross-account replication ensures that the models are synchronized between the initial repositories and the central catalog, maintaining consistency and availability.