MLS-C01 · Question #275
A company's data scientist has trained a new machine learning model that performs better on test data than the company's existing model performs in the production environment. The data scientist…
The correct answer is A. Create a new endpoint configuration that includes a production variant for each of the two C. Deploy the new model to the existing endpoint. https://aws.amazon.com/blogs/machine-learning/a-b-testing-ml-models-in-production-using- amazon-sagemaker/
Question
A company's data scientist has trained a new machine learning model that performs better on test data than the company's existing model performs in the production environment. The data scientist wants to replace the existing model that runs on an Amazon SageMaker endpoint in the production environment. However, the company is concerned that the new model might not work well on the production environment data. The data scientist needs to perform A/B testing in the production environment to evaluate whether the new model performs well on production environment data. Which combination of steps must the data scientist take to perform the A/B testing? (Choose two.)
Options
- ACreate a new endpoint configuration that includes a production variant for each of the two
- BCreate a new endpoint configuration that includes two target variants that point to different
- CDeploy the new model to the existing endpoint.
- DUpdate the existing endpoint to activate the new model.
- EUpdate the existing endpoint to use the new endpoint configuration.
How the community answered
(17 responses)- A82% (14)
- B12% (2)
- D6% (1)
Explanation
https://aws.amazon.com/blogs/machine-learning/a-b-testing-ml-models-in-production-using- amazon-sagemaker/
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