MLA-C01 · Question #174
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…
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…
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
How the community answered
(24 responses)- A4% (1)
- B8% (2)
- C71% (17)
- D17% (4)
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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