AWS AI Practitioner
A company is using Amazon SageMaker to develop AI models. Select the correct SageMaker feature or resource from the following list for each step in the AI model lifecycle workflow. Each SageMaker feature or resource should be selected one time or not at all.
Explicación
SageMaker Model Registry is used to manage, version, and track ML models. SageMaker Serverless Inference is used to deploy and run predictions without managing infrastructure.