Search...
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 study checklist itself, see the MLA-C01 study guide.
AWS Machine Learning Engineer - Associate (MLA-C01) is a Associate level AWS certification exam with about 65 questions in 130 minutes, requiring a scaled score of 720 to pass. It covers 4 official 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
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 exam has approximately 65 questions. Question counts can vary slightly between deliveries, so treat 65 as the planning figure rather than a fixed number.
Candidates get about 130 minutes to complete the MLA-C01 exam, which works out to roughly 2 minute(s) per question at 65 questions.
The MLA-C01 exam requires a scaled score of 720 to pass. Scores are reported on a scaled rather than a raw percentage basis, so a passing result does not correspond to a simple count of correct answers.
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 of 720 on a scaled score. Plan for roughly 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.
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.