AWS Certified AI Practitioner AIF-C01 Practice Question

The automatic search of multiple hyperparameter combinations corresponds to the hyperparameter tuning stage of the ML pipeline. Amazon SageMaker Automatic Model Tuning (sometimes called hyperparameter tuning jobs) runs many training jobs in parallel, evaluates them against a chosen metric, and returns the model that performs best. SageMaker Ground Truth is for data labeling, Batch Transform is for offline inference, and a Model Package is a container format used for sharing or deploying an already trained model, so none of these handle hyperparameter optimization.