MLA-C01

AWS Certified Machine Learning Engineer - Associate

MLA-C01 · Amazon Web Services

A free practice bank of 101 items covering all 4 exam domains, with spaced retrieval, confidence calibration and gap routing. Generated from the published MLA-C01 exam guide.

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Exam structure

65questions

130minutes

720passing score

101practice items here

50 of the 65 questions are scored; 15 are unscored and are not identified on the exam. Scaled 100-1000, pass at 720, compensatory across domains.

Domains and weights

Domain	Weight
Data Preparation for Machine Learning 1.1 Ingest and store data 1.2 Transform data and perform feature engineering 1.3 Ensure data integrity and prepare data for modeling	28%
ML Model Development 2.1 Choose a modeling approach 2.2 Train and refine models 2.3 Analyze model performance	26%
Deployment and Orchestration of ML Workflows 3.1 Select deployment infrastructure 3.2 Create and script infrastructure 3.3 Use automated orchestration tools for CI/CD pipelines	22%
ML Solution Monitoring, Maintenance, and Security 4.1 Monitor model inference 4.2 Monitor and optimize infrastructure and costs 4.3 Secure AWS resources	24%

What the practice bank covers

101 items across 4 domains, using matching, multiple choice, multiple response, ordering question types. Items are weighted to the published domain split, so practice time lands where the exam does.