Module 0: Introduction and Overview
Module 1: Domain 1 – Data Collection Systems
- 1 Determine the operational characteristics of the collection system
- 2 Select a collection system that handles the frequency, volume, and source of data
- 3 Select a collection system that addresses the key properties of data, such as order, format, and compression
- Multiple question interactive domain review
Module 2: Domain 2 – Storage and Data Management Concerns
- 1 Determine the operational characteristics of the storage system for analytics
- 2 Determine data access and retrieval patterns
- 3 Select an appropriate data layout, schema, structure, and format
- 4 Define a data lifecycle based on usage patterns and business requirements
- 5 Determine the appropriate system for cataloging data and managing metadata
- Multiple question interactive domain review
Module 3: Domain 3 – Data Processing Solutions
- 1 Determine appropriate data processing solution requirements
- 2 Design a solution for transforming and preparing data for analysis
- 3 Automate and operationalize a data processing solution
- Multiple question interactive domain review
Module 4: Domain 4 – Analysis and Visualization of Analytical Data
- 1 Determine the operational characteristics of the analysis and visualization solution
- 2 Select the appropriate data analysis solution for a given scenario
- 3 Select the appropriate data visualization solution for a given scenario
- Multiple question interactive domain review
Module 5: Domain 5 – Security of the Data Analysis System
- 1 Select the appropriate authentication and authorization mechanisms
- 2 Apply data protection and encryption techniques
- 3 Apply data governance and compliance controls
- Multiple question interactive domain review
Module 6: AWS Exam Preparation
Module 7: Course Review and Wrap-Up