Domain 01
Data Preparation for ML
28%
Ingest, transform, and prepare data for ML.
Data ingestionFeature engineeringData labelingData validation
Amazon Web Services
AWS Certified Machine Learning Engineer - Associate
Code: AWS-ML-ENGINEER-ASSOCIATE
Validates ability to implement ML workflows using AWS services including SageMaker for production workloads.
65
Questions
130m
Time Limit
720
Pass Score
4
Domains
2208
Practice Bank
Exam Domains
Domain 02
ML Model Development
26%
Build and train ML models.
SageMaker trainingHyperparameter tuningModel evaluationExperiment tracking
Domain 03
ML Model Deployment and Inference
22%
Deploy and serve ML models.
SageMaker endpointsModel optimizationMulti-model endpointsServerless inference
Domain 04
ML Workflow Orchestration
24%
Automate and orchestrate ML workflows.
SageMaker PipelinesModel RegistryMLOps practicesModel monitoring
2,000+ Questions
Industry-standard simulation of the actual exam environment.
Timed Exams
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Detailed Explanations
Understand the why behind every single answer choice.
Progress Tracking
Advanced analytics to identify your weak domains.
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