Amazon Exam MLA-C01 Topic 3 Question 4 Discussion

Actual exam question for Amazon's MLA-C01 exam

Question #: 4
Topic #: 3

A company uses Amazon Athena to query a dataset in Amazon S3. The dataset has a target variable that the company wants to predict.

The company needs to use the dataset in a solution to determine if a model can predict the target variable.

Which solution will provide this information with the LEAST development effort?

ACreate a new model by using Amazon SageMaker Autopilot. Report the model's achieved performance.

BImplement custom scripts to perform data pre-processing, multiple linear regression, and performance evaluation. Run the scripts on Amazon EC2 instances.

CConfigure Amazon Macie to analyze the dataset and to create a model. Report the model's achieved performance.

DSelect a model from Amazon Bedrock. Tune the model with the data. Report the model's achieved performance.

Show Suggested Answer

Suggested Answer: A

by Lavonne at Jun 16, 2025, 12:33 PM

Limited Time Offer

25%

Off

Get Premium MLA-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Fredric

2 days ago

I think option A is the best choice for least development effort.

upvoted 0 times

...

Vicki

2 days ago

Option C sounds intriguing, but I'm not sure how much control we'd have over the model selection and tuning process. Might be a bit of a black box.

upvoted 0 times

...

Von

4 days ago

I'm more of a DIY kind of person, so Option B appeals to me more. Implementing the scripts myself will help me understand the process better.

upvoted 0 times

...

Linette

5 days ago

Option A seems like the easiest way to get a model and performance evaluation with minimal effort. SageMaker Autopilot takes care of all the heavy lifting.

upvoted 0 times

...