AWS Certified Machine Learning – Specialty

Content Outline

Domain	percentage of Examination
Domain 1: Data Engineering	20%
Domain 2: Exploratory Data Analysis	24%
Domain 3: Modeling	36%
Domain 4: Machine Learning Implementation and Operations	20%
TOTAL	100%

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Domain 1: Data Engineering

• 1.1 Create data repositories for machine learning.
• 1.2 Identify and implement a data-ingestion solution.
• 1.3 Identify and implement a data-transformation solution.

Domain 2: Exploratory Data Analysis

• 2.1 Sanitize and prepare data for modeling.
• 2.2 Perform feature engineering.
• 2.3 Analyze and visualize data for machine learning.

Domain 3: Modeling

• 3.1 Frame business problems as machine learning problems.
• 3.2 Select the appropriate model(s) for a given machine learning problem.
• 3.3 Train machine learning models.
• 3.4 Perform hyper-parameter optimization.
• 3.5 Evaluate machine learning models.

Domain 4: Machine Learning Implementation and Operations

• 4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
• 4.2 Recommend and implement the appropriate machine learning services and features for a given problem.
• 4.3 Apply basic AWS security practices to machine learning solutions.
• 4.4 Deploy and operationalize machine learning solutions.

Reference

AWS Certified Machine Learning – Specialty Exam Guide.pdf)

Jayendra’s Cloud Certification Blog