Domain 01
Data Engineering
20%
Create data repositories for ML, identify and implement data ingestion and transformation solutions.
Data repositories for MLData ingestionData transformationData labelingData formats
Amazon Web Services
AWS Certified Machine Learning - Specialty
Code: 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.
65
Questions
180m
Time Limit
750
Pass Score
4
Domains
2245
Practice Bank
Exam Domains
Domain 02
Exploratory Data Analysis
24%
Sanitize and prepare data for modeling, perform feature engineering, and analyze and visualize data.
Data cleaningFeature engineeringData visualizationStatistical analysisDimensionality reduction
Domain 03
Modeling
36%
Frame business problems as ML problems, select appropriate models, train and tune models.
ML problem framingAlgorithm selectionSageMaker trainingHyperparameter tuningModel evaluationTransfer learningDeep learning on AWS
Domain 04
Machine Learning Implementation and Operations
20%
Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance.
Model deploymentMLOpsModel monitoringA/B testingCost optimization for MLSecurity for ML
2,000+ Questions
Industry-standard simulation of the actual exam environment.
Timed Exams
Practice under pressure with realistic time constraints.
Detailed Explanations
Understand the why behind every single answer choice.
Progress Tracking
Advanced analytics to identify your weak domains.
Frequently Asked Questions
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