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Amazon Exam MLA-C01 Topic 3 Question 4 Discussion

Actual exam question for Amazon's MLA-C01 exam
Question #: 4
Topic #: 3
[All MLA-C01 Questions]

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?

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Suggested Answer: A

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

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Aileen
2 days ago
Ah, the classic 'which solution requires the least effort' question. I'm torn between A and B - on one hand, I love a good DIY project, but on the other hand, I'm feeling a little lazy today.
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Kati
8 days ago
Hmm, Option A seems like the easiest, but I wonder if we'd be sacrificing some control and customization. Maybe we could get the best of both worlds with Option B?
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Adell
9 days ago
Option D sounds like it could be a good fit, but I'm not familiar with Amazon Bedrock. Might need to do some research to see if it's the right tool for the job.
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Fredric
19 days ago
But option A uses Amazon SageMaker Autopilot which automates the model creation process, saving time and effort.
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Janella
20 days ago
I disagree, I believe option D would require less effort and provide accurate results.
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Fredric
1 months ago
I think option A is the best choice for least development effort.
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Vicki
1 months 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.
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Vallie
8 days ago
I) 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.
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Tandra
10 days ago
C) Configure Amazon Macie to analyze the dataset and to create a model. Report the model's achieved performance.
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Millie
19 days ago
B) Implement custom scripts to perform data pre-processing, multiple linear regression, and performance evaluation. Run the scripts on Amazon EC2 instances.
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Oneida
24 days ago
A) Create a new model by using Amazon SageMaker Autopilot. Report the model's achieved performance.
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Von
1 months 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.
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Linette
1 months 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.
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Giovanna
8 days ago
Let's go with Option A then. It's the most efficient solution for our needs.
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Leana
10 days ago
I agree, using Amazon SageMaker Autopilot would definitely save us time and effort in creating and evaluating the model.
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Fannie
19 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.
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