Question 1 of 68
Single answerCertylQ Case Study - A company is building a web-based Al application by using Amazon SageMaker. The application will provide the following capabilities and features: ML experimentation, training, a central model registry, model deployment, and model monitoring. The application must ensure secure and isolated use of training data during the ML lifecycle. The training data is stored in Amazon S3. The company needs to use the central model registry to manage different versions of models in the application. Which action will meet this requirement with the LEAST operational overhead?
ACreate a separate Amazon Elastic Container Registry (Amazon ECR) repository for each modlel.
✓CUse the SageMaker Model Registry and model groups to catalog the models.
DUse the SageMaker Model Registry and unique tags for each model version.
✓
Correct Answer: C
Use the SageMaker Model Registry and model groups to catalog the models.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of AWS certification topics.