Validates ability to design, build, deploy, and manage ML solutions for business problems.
Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.
Exam Summary
TIME
130
Minutes
TOTAL
65
Questions
PRICE
$150
USD
VALID
3
Years
PASS
720
/1000
Prerequisites (Optional)
Recommended experience before taking this exam
Recommended: 1-2 years of ML engineering experience
Basic understanding of ML and deep learning concepts
Exam Domains & Topics
Domain 1
28%
Data Preparation for Machine Learning
Ingest and store data
Transform data and perform feature engineering
Analyze and visualize data for ML
Domain 2
26%
ML Model Development
Frame business problems as ML problems
Select appropriate models for given ML problems
Train and refine ML models
Domain 3
22%
Deployment and Orchestration of ML Workflows
Deploy and serve ML models
Create and manage pipelines
Domain 4
24%
ML Solution Monitoring, Maintenance, and Security
Monitor ML solutions
Maintain ML solutions
Apply security practices to ML solutions
AWS Certified Machine Learning Engineer - Associate (MLA-C01) - Complete Exam Syllabus & Study Guide | Cloud Practice Test
