Module 0: Introduction
- Exam format and structure
- Question types and scoring
- Test-taking strategies
- Preparation resources
Module 1: Data Ingestion and Transformation
- Task Statement 1.1: Perform data ingestion
- Task Statement 1.2: Transform and process data
- Task Statement 1.3: Orchestrate data pipelines
- Task Statement 1.4: Apply programming concepts
- Walkthrough of exam-style questions
- Additional questions
Module 2: Data Store Management
- Task Statement 2.1: Choose a data store
- Task Statement 2.2: Understand data cataloging systems
- Task Statement 2.3: Manage the lifecycle of data
- Task Statement 2.4: Design data models and schema evolution
- Walkthrough of exam-style questions
- Additional questions
Module 3: Data Operations and Support
- Task Statement 3.1: Automate data processing by using AWS services
- Task Statement 3.2: Analyze data by using AWS services
- Task Statement 3.3: Maintain and monitor data pipelines
- Task Statement 3.4: Ensure data quality
- Walkthrough of exam-style questions
- Additional questions
Module 4: Data Security and Governance
- Task Statement 4.1: Apply authentication mechanisms
- Task Statement 4.2: Apply authorization mechanisms
- Task Statement 4.3: Ensure data encryption and masking
- Task Statement 4.4: Prepare logs for audit
- Task Statement 4.5: Understand data privacy and governance
- Walkthrough of exam-style questions
- Additional questions
Module 5: Course Wrap-up
- Review of exam domains
- Final test-taking strategies
- Additional preparation resources