Exam Details
AWS · MLA-C01
Build, deploy, and monitor machine learning models using AWS tools and workflows.
Practice with ExamOS for AWS Certified Machine Learning Engineer - Associate. Learn daily with scenario-based questions, timed quizzes, detailed explanations, and exam-style difficulty.
Who is this for?
Level: Intermediate to Advanced. This exam covers the full machine learning lifecycle on AWS. While there are no formal prerequisites, AWS officially recommends one to two years of hands-on experience building, deploying, and monitoring ML models. You need strong skills in Python, SQL, data preparation, feature engineering, and MLOps practices like CI/CD and drift detection using Amazon SageMaker.
Are you ready?
You are fully prepared if you can actively build and manage production ML systems while explaining the technical reasoning behind your architectural decisions. Test your ML engineering expertise with our challenging practice scenarios!
Overview
The AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification is designed for professionals who work with machine learning systems on AWS. It focuses on the practical aspects of building and deploying ML solutions. The exam covers data preparation, model training, evaluation, deployment, and monitoring. Candidates are expected to understand how to use AWS services such as SageMaker to manage ML workflows. A key aspect of this certification is the end-to-end ML lifecycle. You will encounter real-world scenarios involving feature engineering, model tuning, and deployment strategies. This certification is particularly relevant for data engineers, ML engineers, and developers working with AI systems. As machine learning becomes part of production systems, the ability to build and maintain reliable ML pipelines is increasingly important, making this certification relevant for applied AI roles.
FAQ
The exam consists of 65 questions to be completed within 130 minutes. These questions are presented in two formats:
The exam is scored on a scale of 100 to 1,000, with a minimum passing score of 720. To ensure you are ready for the challenge, ExamOS offers scenario-based practice quizzes that build real exam confidence by simulating the complexity of the actual test environment.
The exam content is divided into four main domains that reflect the lifecycle of a machine learning project:
Successful candidates typically use a combination of official and community resources:
The registration fee for the AWS Certified Machine Learning Engineer - Associate exam is $150 USD. Please note that additional taxes may apply based on your local jurisdiction and the test center location.
If you are unsuccessful on your first attempt, you must wait 14 calendar days before you are eligible to retake the exam. There is no limit on the number of attempts you can make, but you must pay the full registration fee for each subsequent attempt.
The certification is valid for three years from the date you pass the exam. To maintain your certified status, you must go through the recertification process, which typically involves:
This certification is intended for individuals who have at least one year of experience in building, deploying, and maintaining ML solutions on AWS. While there are no formal prerequisites to take the exam, the target audience includes:
The demand for professionals who can bridge the gap between data science and production engineering is at an all-time high. Holding this certification can lead to several high-value roles:
Once you have mastered the Associate level, you can further specialize your skill set with these related AWS certifications: