Last Updated on May 7, 2026
Amazon AWS Certified Machine Learning - Associate (MLA-C01) Certification Exam Guide is your trusted resource to gain foundational skills in building, training, tuning, and deploying machine learning models on AWS. This certification is ideal for professionals aiming to accelerate their career development in cloud-based ML solutions. With focused exam preparation using our curated study materials, hands-on labs, and real exam-style practice questions, you'll be well-equipped to pass the exam and apply ML in real-world projects. We recommend mastering SageMaker, understanding model lifecycle, and practicing with datasets to build confidence and accuracy. — Tharun Kumar and John Ellis, Technology Consultants @nxtexam
Find answers to common questions about AWS Certified Machine Learning - Associate (MLA-C01) Certification. If you need additional help, our support team is always here to assist you with your certification journey.
The AWS Certified Machine Learning – Associate (MLA-C01) exam is a certification offered by Amazon Web Services for individuals who want to validate their ability to build, train, and deploy machine learning models on AWS.
This exam is ideal for data scientists, developers, and machine learning engineers who have hands-on experience using AWS machine learning services and want to validate their skills.
The exam covers data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on AWS.
You can prepare by studying AWS documentation, taking practice exams, completing online courses, and gaining hands-on experience with services like Amazon SageMaker, AWS Lambda, and Amazon S3.
As of now, the AWS Certified Machine Learning – Associate exam costs USD $150. Prices may vary depending on your region.
The exam duration is 180 minutes and includes around 65 multiple-choice or multiple-response questions.
AWS does not publish an official passing score, but it is typically around 70%. Results are scaled to ensure fairness.
There are no formal prerequisites, but it’s recommended to have at least one year of experience in developing, architecting, or running machine learning workloads on AWS.
Yes, the certification is valuable for professionals looking to demonstrate their machine learning skills and increase their career opportunities in cloud-based AI and data roles.
AWS regularly reviews and updates its certification exams to reflect current technologies and best practices. Check the official AWS certification page for the most current exam guide.