Exams

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 1

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

8. SageMaker endpoints

During a design review, the team identifies this need: host models for inference. Which AWS service or concept is the most direct fit?

SageMaker Model Registry SageMaker Data Wrangler SageMaker Pipelines SageMaker endpoints

12. RAG

Which option is correctly associated with the following capability: ground model responses using retrieved knowledge?

SageMaker Feature Store RAG Amazon Bedrock AWS KMS

5. Amazon SageMaker AI

What is the primary purpose of Amazon SageMaker AI?

encrypt ML data and artifacts build, train, deploy, and operate ML models queue long-running inference requests degradation in model behavior or predictive relationship

24. AWS KMS

A requirement calls for encrypt ML data and artifacts. Which AWS option directly addresses the requirement?

SageMaker Feature Store SageMaker endpoints AWS KMS Amazon Bedrock Agents

30. SageMaker Pipelines

During a design review, the team identifies this need: orchestrate ML workflows. Which AWS service or concept is the most direct fit?

SageMaker endpoints Bedrock Guardrails SageMaker Pipelines SageMaker Clarify

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 1