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MLS-C01 · Question #165

A telecommunications company is developing a mobile app for its customers. The company is using an Amazon SageMaker hosted endpoint for machine learning model inferences. Developers want to…

The correct answer is C. Update the DesiredWeightsAndCapacity data type with the new version of the model by using the. Step 4: Increase traffic to the best model Now that we have determined that Variant2 performs better than Variant1, we shift more traffic to it. We can continue to use TargetVariant to invoke a specific model variant, but a simpler approach is to update the weights assigned to…

Machine Learning Implementation and Operations

Question

A telecommunications company is developing a mobile app for its customers. The company is using an Amazon SageMaker hosted endpoint for machine learning model inferences. Developers want to introduce a new version of the model for a limited number of users who subscribed to a preview feature of the app. After the new version of the model is tested as a preview, developers will evaluate its accuracy. If a new version of the model has better accuracy, developers need to be able to gradually release the new version for all users over a fixed period of time. How can the company implement the testing model with the LEAST amount of operational overhead?

Options

  • AUpdate the ProductionVariant data type with the new version of the model by using the
  • BConfigure two SageMaker hosted endpoints that serve the different versions of the model.
  • CUpdate the DesiredWeightsAndCapacity data type with the new version of the model by using the
  • DConfigure two SageMaker hosted endpoints that serve the different versions of the model.

How the community answered

(51 responses)
  • A
    4% (2)
  • B
    6% (3)
  • C
    78% (40)
  • D
    12% (6)

Explanation

Step 4: Increase traffic to the best model Now that we have determined that Variant2 performs better than Variant1, we shift more traffic to it. We can continue to use TargetVariant to invoke a specific model variant, but a simpler approach is to update the weights assigned to each variant by calling UpdateEndpointWeightsAndCapacities. https://docs.aws.amazon.com/sagemaker/latest/dg/model-ab-testing.html

Topics

#SageMaker Endpoints#A/B Testing#Canary Deployment#Model Deployment

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