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.

#MLA-C02

#AWS_Certified_Machine_Learning_Engineer_-_Associate

#AWS_practice_test

#AWS_certification

#practice_questions

Questions count: 30

Example of the test

27. SageMaker Pipelines

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

Early stopping AWS IAM SageMaker Pipelines Amazon Bedrock Knowledge Bases

21. Fine-tuning

Which AWS service or concept best matches this description: adapt a pretrained model to specialized examples?

Amazon S3 Fine-tuning Bedrock Guardrails Model drift

13. Prompt engineering

What is the primary purpose of Prompt engineering?

design effective instructions and context encrypt ML data and artifacts degradation in model behavior or predictive relationship change in input data distribution over time

14. SageMaker endpoints

An architect needs to host models for inference. Which option should be selected?

Amazon SageMaker AI AWS IAM Early stopping SageMaker endpoints

10. Batch Transform

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

Embeddings SageMaker Feature Store AWS IAM Batch Transform