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AWS Exam Syllabus

MLA-C01 syllabus, skills measured, and exam topics

The AWS MLA-C01 exam covers the official skills measured for AWS Certified Machine Learning Engineer - Associate. Use this page to review the current syllabus, major domains, and official resources before you book the exam.

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What to know before you study

These sections explain the role, audience, and exam framing behind the outline.

Introduction

  • The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam validates a candidate's ability to build, operationalize, deploy, and maintain machine learning (ML) solutions and pipelines by using the AWS Cloud.
  • The exam also validates a candidate's ability to complete the following tasks:

Target Candidate Description

  • The target candidate should have at least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering. The target candidate also should have at least 1 year of experience in a related role such as a backend software developer, DevOps developer, data engineer, or data scientist.

Recommended general IT knowledge

  • The target candidate should have the following general IT knowledge:

Detailed outline

Scan each section as a working study checklist instead of one long wall of text.

Recommended AWS knowledge

  • The target candidate should have the following AWS knowledge:

Job tasks that are out of scope for the target candidate

  • The following list contains job tasks that the target candidate is not expected to be able to perform. This list is non-exhaustive. These tasks are out of scope for the exam:

Question types

  • The exam contains one or more of the following question types:
  • Unanswered questions on the exam are scored as incorrect. There is no penalty for guessing. The exam includes 50 questions that affect your score.

Unscored content

  • The exam includes 15 unscored questions that do not affect your score. AWS collects information about performance on these unscored questions to evaluate these questions for future use as scored questions. These unscored questions are not identified on the exam.

Exam results

  • The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam has a pass or fail designation. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines.
  • Your results for the exam are reported as a scaled score of 100–1,000. The minimum passing score is 720. Your score shows how you performed on the exam as a whole and whether you passed. Scaled scoring models help equate scores across multiple exam forms that might have slightly different difficulty levels.
  • Your score report could contain a table of classifications of your performance at each section level. The exam uses a compensatory scoring model, which means that you do not need to achieve a passing score in each section. You need to pass only the overall exam.
  • Each section of the exam has a specific weighting, so some sections have more questions than other sections have. The table of classifications contains general information that highlights your strengths and weaknesses. Use caution when you interpret section-level feedback.