Exams

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 3

AWS Certified Machine Learning Engineer - Associate (MLA-C02) Practice Exam

This original practice exam helps candidates review the AWS services, architecture decisions, operational patterns, security controls, and technical concepts relevant to the certification.

Questions are independently written for study purposes and are not copied exam questions or exam dumps.

Use review mode after completion to identify weak areas, then verify unfamiliar concepts in current AWS documentation.

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Questions count: 30

Example of the test

26. Amazon CloudWatch

A requirement calls for monitor ML infrastructure and applications. Which AWS option directly addresses the requirement?

Bedrock Guardrails Amazon Bedrock Agents Serverless inference Amazon CloudWatch

20. Embeddings

An architect needs to semantic vector representations. Which option should be selected?

Serverless inference Embeddings SageMaker Automatic Model Tuning Model drift

16. Amazon Bedrock Agents

A requirement calls for orchestrate foundation models with tools and data. Which AWS option directly addresses the requirement?

Amazon Bedrock Knowledge Bases RAG Amazon Bedrock Agents SageMaker Model Registry

13. Serverless inference

An architect needs to inference without managing serving infrastructure. Which option should be selected?

SageMaker Clarify Serverless inference Amazon SageMaker AI Bedrock Guardrails

14. Amazon Bedrock Knowledge Bases

During a design review, the team identifies this need: managed retrieval-augmented generation. Which AWS service or concept is the most direct fit?

AWS IAM Amazon ECR Amazon Bedrock Knowledge Bases Data drift

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 3