Amazon Exam MLS-C01 Topic 2 Question 117 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 117
Topic #: 2

[Modeling]

A company wants to enhance audits for its machine learning (ML) systems. The auditing system must be able to perform metadata analysis on the features that the ML models use. The audit solution must generate a report that analyzes the metadat

a. The solution also must be able to set the data sensitivity and authorship of features.

Which solution will meet these requirements with the LEAST development effort?

AUse Amazon SageMaker Feature Store to select the features. Create a data flow to perform feature-level metadata analysis. Create an Amazon DynamoDB table to store feature-level metadata. Use Amazon QuickSight to analyze the metadata.

BUse Amazon SageMaker Feature Store to set feature groups for the current features that the ML models use. Assign the required metadata for each feature. Use SageMaker Studio to analyze the metadata.

CUse Amazon SageMaker Features Store to apply custom algorithms to analyze the feature-level metadata that the company requires. Create an Amazon DynamoDB table to store feature-level metadata. Use Amazon QuickSight to analyze the metadata.

DUse Amazon SageMaker Feature Store to set feature groups for the current features that the ML models use. Assign the required metadata for each feature. Use Amazon QuickSight to analyze the metadata.

Show Suggested Answer

Suggested Answer: D

by Santos at Jun 11, 2025, 05:16 AM

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Annice

10 days ago

I wonder if the exam writer is trying to trick us with all these options. At the end of the day, the goal is to get the job done with the least effort, right? No need to reinvent the wheel.

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Jennifer

13 days ago

Option A is just overkill. Creating a whole data flow and DynamoDB table? Seems like a lot of extra effort when SageMaker Feature Store can handle this.

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Erick

5 days ago

Option A is definitely too much. SageMaker Feature Store can handle this without all the extra steps.

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1 months ago

Option B looks like the most straightforward solution to meet the requirements. Using SageMaker Feature Store to manage the feature metadata seems like the way to go.

upvoted 0 times