Amazon Exam MLS-C01 Topic 10 Question 78 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 78
Topic #: 10

A company has an ecommerce website with a product recommendation engine built in TensorFlow. The recommendation engine endpoint is hosted by Amazon SageMaker. Three compute-optimized instances support the expected peak load of the website.

Response times on the product recommendation page are increasing at the beginning of each month. Some users are encountering errors. The website receives the majority of its traffic between 8 AM and 6 PM on weekdays in a single time zone.

Which of the following options are the MOST effective in solving the issue while keeping costs to a minimum? (Choose two.)

AConfigure the endpoint to use Amazon Elastic Inference (EI) accelerators.

BCreate a new endpoint configuration with two production variants.

CConfigure the endpoint to automatically scale with the InvocationsPerInstance metric.

DDeploy a second instance pool to support a blue/green deployment of models.

EReconfigure the endpoint to use burstable instances.

Show Suggested Answer

Suggested Answer: B, D

https://www.redhat.com/en/topics/devops/what-is-blue-green-deployment

by Willow at Aug 07, 2023, 12:43 AM

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