Amazon MLS-C01 Exam - Topic 2 Question 55 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 55
Topic #: 2

A machine learning (ML) specialist wants to create a data preparation job that uses a PySpark script with complex window aggregation operations to create data for training and testing. The ML specialist needs to evaluate the impact of the number of features and the sample count on model performance.

Which approach should the ML specialist use to determine the ideal data transformations for the model?

AAdd an Amazon SageMaker Debugger hook to the script to capture key metrics. Run the script as an AWS Glue job.

BAdd an Amazon SageMaker Experiments tracker to the script to capture key metrics. Run the script as an AWS Glue job.

CAdd an Amazon SageMaker Debugger hook to the script to capture key parameters. Run the script as a SageMaker processing job.

DAdd an Amazon SageMaker Experiments tracker to the script to capture key parameters. Run the script as a SageMaker processing job.

Show Suggested Answer

Suggested Answer: B

by Iluminada at May 07, 2022, 11:45 AM

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Barbra

4 months ago

I’m surprised there’s no mention of feature selection methods here!

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Camellia

4 months ago

Totally agree with C, it’s more efficient!

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Blair

4 months ago

Wait, why not just use SageMaker Debugger for everything?

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Berry

4 months ago

I think D is better for tracking experiments.

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Lore

5 months ago

Option C seems solid for capturing key parameters.

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Cory

5 months ago

I'm a little unsure about this one. I know we can use the process-instances API to interact with process instances, but I'm not sure about the specifics of what we can and can't do. I'll have to review the API documentation again to make sure I understand the capabilities.

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Pok

5 months ago

I remember something about the Advocate stage where customers promote their experience. It seems like they are happy enough to share online, which might fit that stage, but I'm not entirely sure.

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Lilli

5 months ago

I've got a good feeling about this one. The key is to really understand the relationship between the management VPLS and the user VPLSs, and then see which option best fits the scenario described.

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Ilda

5 months ago

This is a good opportunity to demonstrate my understanding of retained earnings adjustments. I'm confident I can work through this step-by-step and arrive at the correct answer.

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