A company has developed multiple machine learning models and needs a centralized place to store, manage, and version them. Which AWS service or feature provides model storage, management, and versioning?

Amazon SageMaker Model Registry is the correct answer because it is specifically designed to store, manage, and version machine learning models. It allows you to catalog model versions, track their lineage, approve or reject model deployments, and manage their lifecycle. This centralized approach ensures governance and reproducibility. AWS Audit Manager is incorrect because it helps audit AWS usage for compliance, not manage ML models. Amazon SageMaker Model Monitor is incorrect as its purpose is to detect drift in deployed models, not to store or version them. Amazon SageMaker Canvas is incorrect because it is a no-code ML solution for business analysts, not a model management system.