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Amazon MLA-C01

AWS Certified Machine Learning Engineer - Associate

Verified practice questions with detailed answers, clear explanations, and community discussion.

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Question 1 of 271

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 use the central model registry to manage different versions of models in the application.

Which action will meet this requirement with the LEAST operational overhead?

Answer choices
Show answer

Correct answer: C

SageMaker Model Registry uses model groups to organize related models and manage multiple approved versions within a central catalog. Each model version can store metadata, evaluation results, approval status, and deployment details, which supports governance throughout the ML lifecycle. This provides native integration with SageMaker training and deployment workflows while requiring minimal operational management. Amazon ECR stores container images rather than serving as a model version registry.

Community votes

26 votes

CSuggested

100%

Question 2 of 271

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 is experimenting with consecutive training jobs.

How can the company MINIMIZE infrastructure startup times for these jobs?

Answer choices
Show answer

Correct answer: B

SageMaker managed warm pools retain the underlying training infrastructure for a configurable period after a training job completes. Consecutive jobs can reuse this warmed capacity instead of provisioning new instances each time, which minimizes startup latency. The warm pool maintains isolation while allowing faster job launches from the same environment configuration. Managed Spot Training reduces cost, while Training Compiler and SMDDP improve training execution performance rather than infrastructure startup time.

Community votes

19 votes

BSuggested

100%

Question 3 of 271

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 must implement a manual approval-based workflow to ensure that only approved models can be deployed to production endpoints.

Which solution will meet this requirement?

Answer choices
Show answer

Correct answer: D

SageMaker Pipelines supports an end-to-end ML workflow that can register model versions in the SageMaker Model Registry and control their approval status. A manual review step can use the AWS SDK to update a registered model version from PendingManualApproval to Approved, allowing only explicitly approved versions to be deployed to production endpoints. SageMaker Experiments and Lineage Tracking record experiment and artifact relationships but do not enforce deployment approval. Model Monitor detects data or model quality issues after deployment rather than managing registry approval.

Community votes

20 votes

DSuggested

100%

Question 4 of 271

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?

Answer choices
Show answer

Correct answer: A

Invoking an AWS Lambda function to run a SageMaker Clarify job provides an on-demand way to evaluate bias drift for models deployed to real-time endpoints. SageMaker Clarify can analyze endpoint predictions and compare current data or model behavior with baseline bias metrics while keeping the workflow within the SageMaker environment. Lambda supplies the event-driven orchestration needed to start the monitoring job when required. The Model Monitor analyzer image and AWS Glue Data Quality do not provide the same Clarify-based bias analysis workflow.

Community votes

24 votes

ASuggested

100%

Question 5 of 271

HOTSPOT -
A company stores historical data in .csv files in Amazon S3. Only some of the rows and columns in the .csv files are populated. The columns are not labeled. An ML engineer needs to prepare and store the data so that the company can use the data to train ML models.
Select and order the correct steps from the following list to perform this task. Each step should be selected one time or not at all. (Select and order three.)
• Create an Amazon SageMaker batch transform job for data cleaning and feature engineering.
• Store the resulting data back in Amazon S3.
• Use Amazon Athena to infer the schemas and available columns.
• Use AWS Glue crawlers to infer the schemas and available columns.
• Use AWS Glue DataBrew for data cleaning and feature engineering.
Exam AWS Certified Machine Learning Engineer - Associate MLA-C01: Question 5 - Image 1
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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01: Question 5 - Image 2

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Charles Sirois
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As this was my first certification exam, I was understandably nervous about what to expect. These study materials made the preparation process much easier, and many of the questions closely reflected those on the actual exam.
Lance Chambers
United States
Wasted about a month going through the free dump sites scattered all over reddit, half the answers were wrong and the other half were for a version of the exam that doesn't even exist anymore. Eventually gave in and paid the small fee here, and the difference was night and day.
Alisha Kelly
Italy
Honestly, I had already gone through the official documentation quite thoroughly, but still didn't feel fully confident going in. This helped things finally click for me. I realized I knew the material, but just hadn't connected all the pieces yet.
Casper Claassen
Netherlands
Used this along with Microsoft Learn and the combo worked really well. The practice questions made the stuff I'd read actually stick. Passed first attempt, no complaints from me.
Gabriele Ghesla
Italy
The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
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Morgan Farmer
United Kingdom
I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
Remi Nuyts
United States
Passed ITIL 4 Foundation with 87%. Material was enough by itself.
Archie Hopkins
United States
I had a smooth experience from start to finish. Access was available right away, no technical issues, which made it easy to get started. The content felt relevant and aligned well with what I was looking for.
Nancy Mcbride
United States
Does what it says it does. Content felt solid, nothing confusing to navigate and I didn't run into any weird issues. I been putting off scheduling the exam for a while and going through this gave me enough confidence to finally book it and pass.
Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.

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