AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 203

A company has developed a computer vision model. The company needs to deploy the model into production on Amazon SageMaker AI. The company has not hosted a model on SageMaker AI previously.

An ML engineer needs to implement a solution to track model versions. The solution also must provide recommendations about which Amazon EC2 instance types to use to host the model.

Which solution will meet these requirements?

Answer options

• A. Register the model in Amazon Elastic Container Registry (Amazon ECR). Use AWS Compute Optimizer for recommendations about instance types.
• B. Register the model in the SageMaker Model Registry. Use SageMaker Autopilot for recommendations about instance types.
• C. Register the model in the SageMaker Model Registry. Use SageMaker Inference Recommender for recommendations about instance types.
• D. Register the model in Amazon Elastic Container Registry (Amazon ECR). Use SageMaker Experiments for recommendations about instance types.

Correct answer: C

Explanation

The correct answer is C because the SageMaker Model Registry is specifically designed for tracking model versions, and SageMaker Inference Recommender provides tailored recommendations for instance types based on the model's characteristics. Options A and D use Amazon ECR, which does not support model versioning, and option B suggests using SageMaker Autopilot, which is not intended for instance type recommendations.