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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

11. SageMaker Pipelines

What is the primary purpose of SageMaker Pipelines?

bias detection and model explainability orchestrate ML workflows orchestrate foundation models with tools and data build generative AI applications with foundation models

29. Amazon ECR

Which option is correctly associated with the following capability: store container images?

Amazon ECR SageMaker Model Monitor Amazon SageMaker AI Embeddings

6. Amazon Bedrock

During a design review, the team identifies this need: build generative AI applications with foundation models. Which AWS service or concept is the most direct fit?

Amazon S3 Embeddings Amazon Bedrock AWS IAM

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

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

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