Exams

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 2

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

27. Amazon Bedrock

Which AWS service or concept best matches this description: build generative AI applications with foundation models?

Amazon Bedrock Bedrock Guardrails AWS KMS SageMaker endpoints

1. SageMaker Clarify

A requirement calls for bias detection and model explainability. Which AWS option directly addresses the requirement?

Prompt engineering SageMaker endpoints AWS IAM SageMaker Clarify

7. RAG

During a design review, the team identifies this need: ground model responses using retrieved knowledge. Which AWS service or concept is the most direct fit?

SageMaker Pipelines RAG SageMaker Automatic Model Tuning Amazon SageMaker AI

24. Data drift

Which option is correctly associated with the following capability: change in input data distribution over time?

Amazon S3 Batch Transform AWS Glue Data drift

9. Bedrock Guardrails

What is the primary purpose of Bedrock Guardrails?

design effective instructions and context monitor ML infrastructure and applications build, train, deploy, and operate ML models safeguards for generative AI inputs and outputs