Amazon Web ServicesAvailable NowAWS Certified Machine Learning - Specialty Practice Exam
AWS-MACHINE-LEARNING-SPECIALTY
Validates ability to design, build, deploy, and maintain ML solutions on AWS. For ML practitioners with 1-2 years of experience.
Exam Details
Official AWS-MACHINE-LEARNING-SPECIALTY exam format
Exam Domains
The AWS Certified Machine Learning - Specialty exam covers 4 domains with different weight percentages
Domain 1: Data Engineering
20%Create data repositories for ML, identify and implement data ingestion and transformation solutions.
- Data repositories for ML
- Data ingestion
- Data transformation
- Data labeling
- Data formats
Domain 2: Exploratory Data Analysis
24%Sanitize and prepare data for modeling, perform feature engineering, and analyze and visualize data.
- Data cleaning
- Feature engineering
- Data visualization
- Statistical analysis
- Dimensionality reduction
Domain 3: Modeling
36%Frame business problems as ML problems, select appropriate models, train and tune models.
- ML problem framing
- Algorithm selection
- SageMaker training
- Hyperparameter tuning
- Model evaluation
- Transfer learning
- Deep learning on AWS
Domain 4: Machine Learning Implementation and Operations
20%Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance.
- Model deployment
- MLOps
- Model monitoring
- A/B testing
- Cost optimization for ML
- Security for ML
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Official Resources
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