AWS Certified Machine Learning Engineer - Associate MLA-C02 — Practice Test 1
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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.

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Questions count: 30

Example of the test

1. AWS IAM

What is the primary purpose of AWS IAM?
semantic vector representations design effective instructions and context least-privilege access for ML resources host models for inference

17. Amazon CloudWatch

Which AWS service or concept best matches this description: monitor ML infrastructure and applications?
Serverless inference Bedrock Guardrails Amazon Bedrock Agents Amazon CloudWatch

3. SageMaker Data Wrangler

During a design review, the team identifies this need: prepare and transform data for ML. Which AWS service or concept is the most direct fit?
Fine-tuning AWS Glue RAG SageMaker Data Wrangler

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

4. SageMaker Model Registry

During a design review, the team identifies this need: catalog and manage model versions. Which AWS service or concept is the most direct fit?
Data drift Amazon Bedrock Knowledge Bases SageMaker Pipelines SageMaker Model Registry

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