Exams

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 4

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

30. AWS KMS

Which option is correctly associated with the following capability: encrypt ML data and artifacts?

AWS KMS Amazon Bedrock Agents SageMaker Feature Store SageMaker endpoints

20. Bedrock Guardrails

During a design review, the team identifies this need: safeguards for generative AI inputs and outputs. Which AWS service or concept is the most direct fit?

Embeddings Model drift AWS Glue Bedrock Guardrails

3. SageMaker Model Registry

What is the primary purpose of SageMaker Model Registry?

semantic vector representations offline batch inference catalog and manage model versions safeguards for generative AI inputs and outputs

22. Amazon SageMaker AI

Which AWS service or concept best matches this description: build, train, deploy, and operate ML models?

Amazon SageMaker AI Amazon Bedrock Agents Embeddings Early stopping

27. SageMaker Automatic Model Tuning

Which option is correctly associated with the following capability: hyperparameter optimization?

Early stopping RAG SageMaker Automatic Model Tuning Prompt engineering

AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 4