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AWS ML Engineer Associate MLA-C02: 6 Practice Exams

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390 original MLA-C02 questions on SageMaker AI and Bedrock, with explanations for every option and AWS doc links
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Created by Youss El
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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
This course includes:
390 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Basic hands-on experience with AWS core services (S3, IAM, VPC, Lambda) is recommended
  • Basic knowledge of machine learning concepts and generative AI terminology
  • No AWS account is needed to take the practice exams

Description

Prepare for the new AWS Certified Machine Learning Engineer – Associate (MLA-C02) exam with six full-length practice exams written from the official AWS MLA-C02 exam guide. The questions test the skills the exam is built around: preparing data for ML and generative AI, developing and evaluating models and foundation models, deploying and orchestrating ML and AI workflows, and operating, monitoring, and securing ML and AI solutions on AWS.

What’s inside

– 6 full-length practice exams with 65 questions each, the same number of questions as the real exam

– 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
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