MLA-C01 · Question #174
MLA-C01 Question #174: Real Exam Question with Answer & Explanation
The correct answer is C: Register the model in the SageMaker Model Registry. Use SageMaker Inference Recommender. The SageMaker Model Registry provides built-in model versioning, lineage tracking, and lifecycle management for models deployed on SageMaker. SageMaker Inference Recommender evaluates the model’s inference performance and cost characteristics to recommend optimal Amazon EC2 insta
Question
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?
Options
- ARegister the model in Amazon Elastic Container Registry (Amazon ECR). Use AWS Compute
- BRegister the model in the SageMaker Model Registry. Use SageMaker Autopilot for
- CRegister the model in the SageMaker Model Registry. Use SageMaker Inference Recommender
- DRegister the model in Amazon Elastic Container Registry (Amazon ECR). Use SageMaker
Explanation
The SageMaker Model Registry provides built-in model versioning, lineage tracking, and lifecycle management for models deployed on SageMaker. SageMaker Inference Recommender evaluates the model’s inference performance and cost characteristics to recommend optimal Amazon EC2 instance types for hosting the model in production.
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