You uploaded 5 TB of data to SageMaker Studio and completed data cleaning. Before training, you need an analysis report that highlights potential dataset bias. Which two actions provide this with the least overhead? (Choose two.)

The correct options are SageMaker Clarify and SageMaker Data Wrangler because both services are designed to detect and report dataset bias with minimal overhead. SageMaker Clarify provides pre-built bias detection algorithms and visualizations, allowing for automated analysis of various bias metrics before training. SageMaker Data Wrangler offers a visual interface to prepare data and includes built-in analysis tools, such as bias reports, that can be generated directly from your dataset. Incorrect options: SageMaker Ground Truth is a data labeling service and does not inherently provide bias detection for raw datasets. SageMaker Model Monitor is used to detect drift in model predictions and features after a model has been deployed, not for initial dataset bias analysis. SageMaker Experiments is for tracking, comparing, and managing machine learning experiments, not for generating bias reports.