AWS Certified AI Practitioner AIF-C01 Practice Question

Amazon SageMaker Model Cards act as a single source of truth for machine-learning models. They capture key governance details such as where the training data came from, how the model will be used, performance and bias metrics, and any known limitations or risks. SageMaker Pipelines orchestrate ML workflows but do not produce governance reports. SageMaker Clarify analyzes bias and explainability results but does not create a consolidated document. SageMaker Feature Store stores features for training and inference, not governance metadata. Therefore, Model Cards are the correct choice.