Amazon Exam MLA-C01 Topic 3 Question 1 Discussion

Actual exam question for Amazon's MLA-C01 exam

Question #: 1
Topic #: 3

Case Study

A company is building a web-based AI application by using Amazon SageMaker. The application will provide the following capabilities and features: ML experimentation, training, a

central model registry, model deployment, and model monitoring.

The application must ensure secure and isolated use of training data during the ML lifecycle. The training data is stored in Amazon S3.

The company needs to run an on-demand workflow to monitor bias drift for models that are deployed to real-time endpoints from the application.

Which action will meet this requirement?

AConfigure the application to invoke an AWS Lambda function that runs a SageMaker Clarify job.

BInvoke an AWS Lambda function to pull the sagemaker-model-monitor-analyzer built-in SageMaker image.

CUse AWS Glue Data Quality to monitor bias.

DUse SageMaker notebooks to compare the bias.

Show Suggested Answer

Suggested Answer: A

by Filiberto at Jun 14, 2025, 02:05 AM

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Lindsey

7 days ago

Option A looks like the way to go here. Invoking a Lambda function to run a SageMaker Clarify job seems like the most straightforward approach to monitoring bias drift.

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