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AWS Machine Learning Engineer MLA-C02 Practice Exams 2026
New
11 students

AWS Machine Learning Engineer MLA-C02 Practice Exams 2026

390 original AWS Certified ML Engineer Associate practice questions on SageMaker AI and Bedrock, with explanations
Last updated 10/2026
English

What you'll learn

  • Prepare, transform, and validate data for ML models and generative AI applications, including RAG pipelines with embeddings and vector stores
  • Choose, train, tune, customize, and evaluate ML models and foundation models with Amazon SageMaker AI and Amazon Bedrock
  • Deploy and orchestrate ML and AI workloads, including endpoints, agents, CI/CD, and MLOps pipelines, with the right infrastructure for cost and performance
  • Monitor, secure, and cost-optimize ML and AI solutions with Model Monitor, CloudWatch, IAM, KMS, and Bedrock Guardrails

Included in This Course

390 questions
  • Practice Test 165 questions
  • Practice Test 265 questions
  • Practice Test 365 questions
  • Practice Test 465 questions
  • Practice Test 565 questions
  • Practice Test 665 questions

Description

Prepare for the new AWS Certified Machine Learning Engineer – Associate (MLA-C02) exam with 6 full-length MLA-C02 practice exams: 390 original scenario questions written from the official AWS exam guide. You practice data preparation, model and foundation model development, deployment, and MLOps with SageMaker AI and Amazon Bedrock, and every answer option is explained with a link to the AWS documentation.


What's inside

- 6 full-length practice exams with 65 questions each. The real MLA-C02 exam has 85 questions in 170 minutes.

- Every exam follows the official domain weighting: Data Preparation for ML and AI (28%), ML Model and Foundation Model Development (24%), Deployment and Orchestration of ML and AI Workflows (24%), and Operating, Monitoring, and Securing ML and AI Solutions (24%)

- Realistic associate-level scenario questions, including multiple-response questions (Select TWO)

- A detailed explanation for every answer option: why the correct answer is right and why each distractor is wrong

- A link to the official AWS documentation for every question, so you can study weak areas directly at the source

- Coverage of the new MLA-C02 topics: retrieval augmented generation with Amazon Bedrock Knowledge Bases and vector stores, chunking and embeddings, foundation model customization and evaluation, Bedrock Guardrails, agents with Amazon Bedrock AgentCore, prompt management, generative AI observability, and cost optimization for tokens and inference, next to the classic SageMaker AI topics such as feature engineering, training, tuning, deployment, MLOps pipelines, and Model Monitor


Why these tests

- 100% original questions, no exam dumps

- Answer options are balanced, so you cannot guess the correct answer from its length or position

- No duplicate questions across the six exams

- Every question links to the current AWS documentation


How to use this course

Take each exam in exam mode first, without notes. Then review every explanation, including those for questions you answered correctly, and follow the documentation links for the domains where you scored lowest. Aim for a consistent score above 80% before you book the real exam.


Important

This course is not affiliated with, endorsed by, or sponsored by Amazon Web Services (AWS). AWS and the AWS Certified logo are trademarks of Amazon, Inc. or its affiliates.


This course contains 6 full-length practice exams with 390 questions in total.


Note: this course contains the use of artificial intelligence.

Who this course is for:

  • ML engineers, data engineers, and developers preparing for the AWS Certified Machine Learning Engineer – Associate (MLA-C02) exam
  • Candidates who studied for MLA-C01 and want to practise the new MLA-C02 topics, including generative AI and agents
  • AWS practitioners who want to