Amazon Exam MLS-C01 Topic 5 Question 76 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 76
Topic #: 5

A company deployed a machine learning (ML) model on the company website to predict real estate prices. Several months after deployment, an ML engineer notices that the accuracy of the model has gradually decreased.

The ML engineer needs to improve the accuracy of the model. The engineer also needs to receive notifications for any future performance issues.

Which solution will meet these requirements?

APerform incremental training to update the model. Activate Amazon SageMaker Model Monitor to detect model performance issues and to send notifications.

BUse Amazon SageMaker Model Governance. Configure Model Governance to automatically adjust model hyper para meters. Create a performance threshold alarm in Amazon CloudWatch to send notifications.

CUse Amazon SageMaker Debugger with appropriate thresholds. Configure Debugger to send Amazon CloudWatch alarms to alert the team Retrain the model by using only data from the previous several months.

DUse only data from the previous several months to perform incremental training to update the model. Use Amazon SageMaker Model Monitor to detect model performance issues and to send notifications.

Show Suggested Answer

Suggested Answer: B, D

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

by Jutta at Jul 09, 2023, 12:57 PM

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16 days ago

I think option A is the best solution. Incremental training can help improve accuracy and Model Monitor can send notifications.

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