Exam Readiness: AWS Certified Data Analytics – Specialty

This course prepares you to take the AWS Certified Data Analytics – Specialty exam, which validates your ability to design, implement, deploy, and maintain data analytic solutions. In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:
Domain 1 – Data Collection Systems
Domain 2 – Storage and Data Management Concerns
Domain 3 – Data Processing Solutions
Domain 4 – Analysis and Visualization of Analytical Data
Domain 5 – Security of the Data Analysis System

After completing this course, students will be able to:

• Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
• Describe the technical topics and concepts that make up each of the exam domains
• Summarize the logistics and mechanics of the exam and its questions
• Use effective strategies for studying and taking the exam

• IT professionals
• Data platform engineers/data architects
• Data scientists
• Data analysts
• Solutions architects

• AWS Certified Cloud Practitioner or an Associate-level AWS certification
• Five or more years of hands-on experience working with complex data analytics processes and analysis solutions on AWS

Module 0: Introduction and Overview

Module 1: Domain 1 – Data Collection Systems
1.1 Determine the operational characteristics of the collection system
1.2 Select a collection system that handles the frequency, volume, and source of data
1.3 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
2.1 Determine the operational characteristics of the storage system for analytics
2.2 Determine data access and retrieval patterns
2.3 Select an appropriate data layout, schema, structure, and format
2.4 Define a data lifecycle based on usage patterns and business requirements
2.5 Determine the appropriate system for cataloging data and managing metadata
Multiple question interactive domain review


Module 3: Domain 3 – Data Processing Solutions
3.1 Determine appropriate data processing solution requirements
3.2 Design a solution for transforming and preparing data for analysis
3.3 Automate and operationalize a data processing solution
Multiple question interactive domain review


Module 4: Domain 4 – Analysis and Visualization of Analytical Data
4.1 Determine the operational characteristics of the analysis and visualization solution
4.2 Select the appropriate data analysis solution for a given scenario
4.3 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
5.1 Select the appropriate authentication and authorization mechanisms
5.2 Apply data protection and encryption techniques
5.3 Apply data governance and compliance controls
Multiple question interactive domain review

Module 6: AWS Exam Preparation
20 question practice exam

Module 7: Course Review and Wrap-Up