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Everything needed to plan for the AWS Machine Learning Engineer - Associate (MLA-C01) exam: number of questions, time limit, passing score, and the official domain weightings. For the domain checklist, see the MLA-C01 study guide. For a week-by-week plan, see the MLA-C01 study plan.
Facts last checked . Vendor links for this exam are on the materials page. To correct a figure, use the corrections policy.
AWS Machine Learning Engineer - Associate (MLA-C01) is a Associate level AWS certification exam with 65 questions in 130 minutes (last checked 2026-10-19), requiring a scaled score of 720 to pass. It covers 4 domains: Data Preparation for Machine Learning (ML) (28%); ML Model Development (26%); ML Solution Monitoring, Maintenance, and Security (24%); Deployment and Orchestration of ML Workflows (22%).
Exam code
MLA-C01
Questions
65
Time limit
130 min
Passing score
720 scaled
Official domains
4
Level
Associate
Provider
AWS
Practice questions
300+ on CertStud
| Domain | Weight | What it covers |
|---|---|---|
| Data Preparation for Machine Learning (ML) | 28% | Ingest, transform, and prepare data for machine learning workflows |
| ML Model Development | 26% | Select algorithms, train models, and optimize performance |
| ML Solution Monitoring, Maintenance, and Security | 24% | Monitor ML systems, detect drift, and secure ML workflows |
| Deployment and Orchestration of ML Workflows | 22% | Deploy models and orchestrate end-to-end ML workflows |
Percentages reflect published official domain weightings. Prerequisite knowledge and current scoring rules are confirmed on the AWS exam page before booking.
The MLA-C01 figure on file is 65 questions. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLA-C01 time limit on file is 130 minutes. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLA-C01 exam requires a scaled score of 720 to pass. A scaled score is not a raw percentage of correct answers. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
The MLA-C01 exam covers 4 official domains: Data Preparation for Machine Learning (ML) (28%), ML Model Development (26%), Deployment and Orchestration of ML Workflows (22%), ML Solution Monitoring, Maintenance, and Security (24%).
Data Preparation for Machine Learning (ML) carries the heaviest weighting on the MLA-C01 exam at 28% of the exam. Ingest, transform, and prepare data for machine learning workflows
MLA-C01 is the exam code for AWS Machine Learning Engineer - Associate (AWS Certified Machine Learning Engineer - Associate), a Associate level AWS certification exam covering 4 domains.
The MLA-C01 exam reports a scaled score. The passing score on file is 720. Plan for 65 questions across 130 minutes, weighted by domain: 28% Data Preparation for Machine Learning (ML), 26% ML Model Development, 24% ML Solution Monitoring, Maintenance, and Security, 22% Deployment and Orchestration of ML Workflows. Last checked 2026-10-19. Confirm the current figure with AWS before you book.
CertStud offers free MLA-C01 practice questions with detailed explanations, plus full-length practice exams and flashcards at https://certstud.com/certifications/aws/ml-engineer-associate. Start with 10 free questions at https://certstud.com/try-free.