AWS Certified AI Practitioner AIF-C01 Practice Question

Amazon SageMaker Data Wrangler provides a visual interface to import data from multiple sources, perform transformations, handle feature engineering, and create quick visualizations. These tasks occur in the data preparation phase of the ML pipeline. Amazon SageMaker Feature Store is meant for storing and sharing prepared features, not for preparing them. Amazon SageMaker Model Monitor tracks models in production for data or performance drift, a post-deployment activity. Amazon SageMaker Ground Truth focuses on generating labeled datasets through human or automated annotation. Therefore, only Data Wrangler directly addresses streamlined data preparation and analysis prior to training.