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Start guided practiceAWS Certified Machine Learning Engineer – Associate
The MLOps-oriented associate exam: preparing data for training, developing and tuning models, deploying inference workloads, and monitoring them once they are live.
AWS Certified Machine Learning Engineer – Associate is AWS's associate-level ai & machine learning certification, sat as exam MLA-C01. The exam runs for 2 hours 10 minutes and presents up to 65 questions, with a pass mark of 720 / 1000 (scaled). It costs US$150 at the standard rate.
AWS publishes the syllabus as 4 weighted domains. Data Preparation for Machine Learning carries the most weight at 28%, and the three largest domains together account for roughly 78% of the scored content — worth knowing before you decide where study time goes.
Confirm these details on the official AWS page before booking — vendors adjust format and pricing without notice.
Some forms include unscored trial questions
Standard rate, before local taxes
The published exam guide for MLA-C01, in the vendor's own order.
01Data Preparation for Machine Learning
28%02ML Model Development
26%03Deployment and Orchestration of ML Workflows
22%04ML Solution Monitoring, Maintenance, and Security
24%At least one year building and operating ML workloads on AWS.
Associate level — Role-based credentials for practitioners with hands-on experience.
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Clear answers about the exam, the study experience, and what to expect before you begin.
AWS lists up to 65 questions, to be completed in 2 hours 10 minutes. Question counts can vary slightly between exam forms, and unscored trial questions are sometimes included.
720 / 1000 (scaled). Confirm the current figure on the official exam page before booking, as vendors adjust cut scores when an exam form is refreshed.
The standard price is US$150. Local pricing, taxes and any retake policy vary by region, so check the official page for the figure that applies to you.
At least one year building and operating ML workloads on AWS.
The exam guide covers Data Preparation for Machine Learning, ML Model Development, Deployment and Orchestration of ML Workflows and ML Solution Monitoring, Maintenance, and Security. The full weighted breakdown is listed above.
Yes — this exam has 226 practice questions available here, each with the correct answer marked.