Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 101 discussion

The correct answer is D: To automatically create versions of ML models as they are created, the company should use Amazon SageMaker Model Registry, which provides automatic versioning, cataloging of models for production use, tracking of model metadata, and management of model approval workflows. This centralized registry system makes it easy to track different versions of models and maintain governance over model deployment in production environments. While SageMaker ML Lineage Tracking (option C) can track relationships between ML artifacts, it focuses on tracking dependencies and data lineage rather than providing the automatic versioning capability needed for managing multiple iterations of models.