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AWS Certified Machine Learning Engineer - Associate MLA-C02 Exam Questions

Preparing for the MLA-C02 exam is simple with ExamsDay. We offer easy-to-understand study materials that help you learn the most important exam topics. You can study using our PDF questions, practice online with a real exam-style test, or use the desktop practice software. Choose the study method that works best for you and prepare at your own pace.

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Question #1 (Topic: Demo Questions)

A company wants a customer-support application to answer questions using private company documentation. The company doesn't want to retrain its foundation model whenever the documentation changes.

Which approach is most appropriate?

A.

RAG architecture

B.

Retrain the model after every update

C.

Replace the model with a traditional database

D.

Remove the external documentation

Correct Answer: A
Explanation:

RAG retrieves relevant information and provides it to the model as context without requiring continuous model retraining.

Question #2 (Topic: Demo Questions)

An ML engineer needs to train, deploy, and monitor machine learning models on AWS.

Which service is most directly suited to these requirements?

A.

Amazon Route 53

B.

Amazon SageMaker AI

C.

Amazon CloudFront

D.

Amazon S3 Glacier

Correct Answer: B
Explanation:

SageMaker AI provides capabilities for developing, training, deploying, and monitoring ML models.

Question #3 (Topic: Demo Questions)

A development team wants to build a generative AI application using managed foundation models without managing the underlying model infrastructure.

Which service should they consider?

A.

Amazon Bedrock

B.

Amazon VPC

C.

Amazon Route 53

D.

AWS Cloud Formation

Correct Answer: A
Explanation:

Amazon Bedrock provides managed access to foundation models for building generative AI applications.

Question #4 (Topic: Demo Questions)

An AI application needs to perform a multi-step task and decide which tools or external systems to use.

Which concept best describes this capability?

A.

Static data warehousing

B.

Agentic AI

C.

DNS resolution

D.

Object lifecycle management

Correct Answer: B
Explanation:

Agentic AI systems can interact with tools and external systems and orchestrate multi-step workflows.

Question #5 (Topic: Demo Questions)

An organization wants its AI application to retrieve current internal information before generating an answer.

Which architecture is most appropriate?

A.

RAG

B.

Static model training only

C.

DNS failover

D.

CDN caching

Correct Answer: A
Explanation:

RAG allows an application to retrieve relevant external information and provide it to the model during generation.

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