Home
Amazon
MLA-C01 Exam Info
MLA-C01 Exam Questions

Home ❯
Amazon ❯
MLA-C01 Exam Info ❯
MLA-C01 Exam Questions

Master Amazon AWS Certified Machine Learning Engineer - Associate MLA-C01: Your Career Catalyst

Ready to revolutionize your tech career? Our cutting-edge MLA-C01 practice questions are your secret weapon for conquering the Amazon AWS Certified Machine Learning Engineer - Associate exam. Crafted by industry veterans, our materials go beyond mere memorization, immersing you in real-world scenarios that mirror the challenges faced by top ML engineers. Whether you prefer the portability of PDFs, the interactivity of web-based quizzes, or the robust features of our desktop software, we've got you covered. Don't let imposter syndrome hold you back – join thousands of successful candidates who've leveraged our resources to land dream roles at tech giants and innovative startups. With AI and machine learning reshaping industries, your certified expertise will be in high demand. Time is ticking, and spots for the next exam date are filling fast. Invest in your future today and transform from code enthusiast to certified ML maestro!

Page: 1 /
Total 207 questions

Unlock 207 Premium Questions Get Free Questions & Answers PDF

Question 1

A company regularly receives new training data from the vendor of an ML model. The vendor delivers cleaned and prepared data to the company's Amazon S3 bucket every 3-4 days.

The company has an Amazon SageMaker pipeline to retrain the model. An ML engineer needs to implement a solution to run the pipeline when new data is uploaded to the S3 bucket.

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

ACreate an S3 Lifecycle rule to transfer the data to the SageMaker training instance and to initiate training.

BCreate an AWS Lambda function that scans the S3 bucket. Program the Lambda function to initiate the pipeline when new data is uploaded.

CCreate an Amazon EventBridge rule that has an event pattern that matches the S3 upload. Configure the pipeline as the target of the rule.

DUse Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the pipeline when new data is uploaded.

Correct : C

Options Selected by Other Users:

Mark Question:

Start a Discussions

Submit Your Answer:

ACreate an S3 Lifecycle rule to transfer the data to the SageMaker training instance and to initiate training.

BCreate an AWS Lambda function that scans the S3 bucket. Program the Lambda function to initiate the pipeline when new data is uploaded.

CCreate an Amazon EventBridge rule that has an event pattern that matches the S3 upload. Configure the pipeline as the target of the rule.

DUse Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the pipeline when new data is uploaded.

0 / 1500

Question 2

An ML engineer needs to use AWS services to identify and extract meaningful unique keywords from documents.

Which solution will meet these requirements with the LEAST operational overhead?

AUse the Natural Language Toolkit (NLTK) library on Amazon EC2 instances for text pre-processing. Use the Latent Dirichlet Allocation (LDA) algorithm to identify and extract relevant keywords.

BUse Amazon SageMaker and the BlazingText algorithm. Apply custom pre-processing steps for stemming and removal of stop words. Calculate term frequency-inverse document frequency (TF-IDF) scores to identify and extract relevant keywords.

CStore the documents in an Amazon S3 bucket. Create AWS Lambda functions to process the documents and to run Python scripts for stemming and removal of stop words. Use bigram and trigram techniques to identify and extract relevant keywords.

DUse Amazon Comprehend custom entity recognition and key phrase extraction to identify and extract relevant keywords.

Correct : D

Options Selected by Other Users:

Mark Question:

Start a Discussions

Submit Your Answer:

AUse the Natural Language Toolkit (NLTK) library on Amazon EC2 instances for text pre-processing. Use the Latent Dirichlet Allocation (LDA) algorithm to identify and extract relevant keywords.

DUse Amazon Comprehend custom entity recognition and key phrase extraction to identify and extract relevant keywords.

0 / 1500

Question 3

A company has developed a new ML model. The company requires online model validation on 10% of the traffic before the company fully releases the model in production. The company uses an Amazon SageMaker endpoint behind an Application Load Balancer (ALB) to serve the model.

Which solution will set up the required online validation with the LEAST operational overhead?

AUse production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 0.1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.

BUse production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.

CCreate a new SageMaker endpoint. Use production variants to add the new model to the new endpoint. Monitor the number of invocations by using Amazon CloudWatch.

DConfigure the ALB to route 10% of the traffic to the new model at the existing SageMaker endpoint. Monitor the number of invocations by using AWS CloudTrail.

Correct : A

Options Selected by Other Users:

Mark Question:

Start a Discussions

Submit Your Answer:

AUse production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 0.1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.

BUse production variants to add the new model to the existing SageMaker endpoint. Set the variant weight to 1 for the new model. Monitor the number of invocations by using Amazon CloudWatch.

CCreate a new SageMaker endpoint. Use production variants to add the new model to the new endpoint. Monitor the number of invocations by using Amazon CloudWatch.

DConfigure the ALB to route 10% of the traffic to the new model at the existing SageMaker endpoint. Monitor the number of invocations by using AWS CloudTrail.

0 / 1500

Question 4

A company is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The company must ensure that responses from Amazon Q Business do not include the name of the company's main competitor.

Which solution will meet this requirement?

AConfigure the competitor's name as a blocked phrase in Amazon Q Business.

BConfigure an Amazon Q Business retriever to exclude the competitor's name.

CConfigure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the competitor's name.

DConfigure document attribute boosting in Amazon Q Business to deprioritize the competitor's name.

Correct : A

Options Selected by Other Users:

Mark Question:

Start a Discussions

Submit Your Answer:

AConfigure the competitor's name as a blocked phrase in Amazon Q Business.

BConfigure an Amazon Q Business retriever to exclude the competitor's name.

CConfigure an Amazon Kendra retriever for Amazon Q Business to build indexes that exclude the competitor's name.

DConfigure document attribute boosting in Amazon Q Business to deprioritize the competitor's name.

0 / 1500

Question 5

An ML engineer needs to use an Amazon EMR cluster to process large volumes of data in batches. Any data loss is unacceptable.

Which instance purchasing option will meet these requirements MOST cost-effectively?

ARun the primary node, core nodes, and task nodes on On-Demand Instances.

BRun the primary node, core nodes, and task nodes on Spot Instances.

CRun the primary node on an On-Demand Instance. Run the core nodes and task nodes on Spot Instances.

DRun the primary node and core nodes on On-Demand Instances. Run the task nodes on Spot Instances.

Correct : D

Options Selected by Other Users:

Mark Question:

Start a Discussions

Submit Your Answer:

ARun the primary node, core nodes, and task nodes on On-Demand Instances.

BRun the primary node, core nodes, and task nodes on Spot Instances.

CRun the primary node on an On-Demand Instance. Run the core nodes and task nodes on Spot Instances.

DRun the primary node and core nodes on On-Demand Instances. Run the task nodes on Spot Instances.

0 / 1500

Page: 1 / 42
Total 207 questions

Want to Unlock Everything for
Amazon MLA-C01 Exam?

By upgrading to Premium Access, you’ll instantly unlock:

Unlock 207 Premium Questions

Exam Name: AWS Certified Machine Learning Engineer - Associate
Exam Code: MLA-C01
Last Update: 22-Mar-2026
Formats: PDF, Web-based,
Desktop Practice
24/7 Customer Support

Price: $59 (PDF Format)

Get Full Access Now

Marked Questions
MLA-C01 Exam

MLA-C01 Exam Question 1
MLA-C01 Exam Question 2
MLA-C01 Exam Question 3
MLA-C01 Exam Question 4
MLA-C01 Exam Question 5

Download PDF File Demo

Try Web-Based Exam Practice Software Demo

Commenting

In order to participate in the comments you need to be logged-in.
You can sign-up or login