The correct answer is Flags potential dataset bias during data preparation. This capability is provided by Amazon SageMaker Clarify and it is the feature that helps enforce fairness and transparency during the data preparation phase.

Amazon SageMaker Clarify computes bias metrics on datasets before training and it also provides explainability for model predictions. These capabilities let teams detect dataset imbalances and measure fairness metrics early so they can remediate bias before models are trained and deployed.

Amazon SageMaker Model Monitor focuses on monitoring models in production for drift and data quality and it does not perform pre-training bias detection.

Amazon SageMaker Model Cards centralize documentation and governance metadata about models and they do not run automated bias analysis on datasets.

Amazon Bedrock Knowledge Bases support retrieval augmented generation and knowledge management for applications and they are not related to dataset fairness or explainability in the training phase.

Full AWS Practitioner Certification Question