AWS Certified Machine Learning Engineer - Associate
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Detailed Exam Outline
Data Preparation for Machine Learning (ML)
28% WeightIngest, transform, and validate data; handle unbalanced data; and prepare data for ML modeling.
ML Model Development
26% WeightSelect modeling approaches, train and tune hyperparameters, analyze performance, and manage model versions.
Deployment and Orchestration of ML Workflows
22% WeightChoose deployment infrastructure, configure auto-scaling, and set up CI/CD pipelines for ML workflows.
ML Solution Monitoring, Maintenance, and Security
24% WeightMonitor infrastructure and model drift, optimize costs, and secure ML systems through access controls and compliance.
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