AWS Certified AI Practitioner AIF-C01 Practice Question

Amazon SageMaker Model Cards provide a single, standardized location to record key information about a machine-learning model, including its intended use, data sources, training details, evaluation metrics, and ethical or risk considerations. This helps organizations meet governance and compliance requirements by making model provenance and performance transparent.

• SageMaker Model Monitor tracks data and model drift after deployment, not documentation.
• SageMaker Feature Store manages engineered features for training and inference, but does not compile model-level summaries.
• SageMaker Model Registry stores versioned model artifacts and approval status, yet it does not capture the broader context-such as data lineage or risk assessment-that Model Cards are designed to hold.