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

18. Amazon S3

Which option is correctly associated with the following capability: store ML training and inference data?

Amazon S3 Amazon SageMaker AI Batch Transform Amazon CloudWatch

1. Model drift

A requirement calls for degradation in model behavior or predictive relationship. Which AWS option directly addresses the requirement?

SageMaker Pipelines Model drift AWS Step Functions SageMaker Automatic Model Tuning

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

30. Data drift

Which AWS service or concept best matches this description: change in input data distribution over time?

Batch Transform AWS Glue Data drift Amazon S3

15. SageMaker Feature Store

Which AWS service or concept best matches this description: centralized store for ML features?

Amazon Bedrock Agents SageMaker Feature Store Amazon Bedrock Knowledge Bases Bedrock Guardrails

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