AWS Certified Machine Learning Engineer Associate (MLA-C01)
The MLA-C01 is AWS's associate-level ML certification, and it expects you to know SageMaker inside and out. Data pipelines, feature engineering, model training, endpoint deployment, monitoring for drift. Our 2,500-question bank drills on the AWS services that actually show up on this exam, not generic ML theory.
| Domain | Weight |
|---|---|
| Data Preparation | 28% |
| ML Model Development | 26% |
| Deployment & Orchestration | 22% |
| Monitoring & Security | 24% |
Heavy focus on SageMaker pipelines, training jobs, hyperparameter tuning, Glue ETL, feature stores, and model registry. Each explanation walks through the AWS-specific implementation, not just the ML concept.
True/false drills on instance types, data formats, built-in algorithms, deployment strategies, and CloudWatch metrics. The MLA-C01 has a lot of service-specific detail to memorize.
Study by domain, run timed practice tests that match the 130-minute exam window, use MLA Daily for quick sessions, or let the confidence engine identify where your understanding has gaps.
Every Pro subscription includes our pass guarantee. Earn your Exam Ready Certificate, take the MLA-C01 within 14 days, and if you score below 720, we refund your most recent payment.
Full terms available in-app and at meridianlabs.us/terms.