Topic 1 Question 85
A company has developed a new ML model. The company requires online model validation on 10% of the traffic before the company fully releases the model in production. The company uses an Amazon SageMaker endpoint behind an Application Load Balancer (ALB) to serve the model. Which solution will set up the required online validation with the LEAST operational overhead?
Use production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 0.1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.
Use production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.
Create a new SageMaker endpoint. Use production variants to add the new model to the new endpoint. Monitor the number of invocations by using Amazon CloudWatch.
Configure the ALB to route 10% of the traffic to the new model at the existing SageMaker endpoint. Monitor the number of invocations by using AWS CloudTrail.
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- 正解だと思う選択肢: A
{ 'ProductionVariants': [ { 'VariantName': 'existing-model', 'ModelName': 'existing-model', 'InitialVariantWeight': 0.9 }, { 'VariantName': 'new-model', 'ModelName': 'new-model', 'InitialVariantWeight': 0.1 } ] }
👍 1GiorgioGss2024/11/28 - 正解だと思う選択肢: A👍 1Saransundar2024/12/04
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