The AWS Certified Data Analytics – Specialty

Introduction

The AWS Certified Data Analytics – Specialty (DAS-C01) exam is intended for individuals who perform a data analytics role. The exam validates a candidate’s comprehensive understanding of how to use AWS services to design, build, secure, and maintain analytics solutions that provide insight from data.

The exam also validates a candidate’s ability to complete the following tasks:

  • Define AWS data analytics services and understand how they integrate with each other
  • Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization

Exam Format

65 questions; either multiple choice or multiple response

180 minutes to complete the exam

Pre-requisites

The target candidate should have a minimum of 5 years of experience with common data analytics technologies. The target candidate also should have at least 2 years of hands-on experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions.

Target Audience

This certification is intended for individuals who design, build, secure, and maintain analytics solutions.

Domain 1: Collection

  • 1.1 Determine the operational characteristics of the collection system
  • 1.2 Select a collection system that handles the frequency, volume, and the source of data
  • 1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression

Domain 2: Storage and Data Management

  • 2.1 Determine the operational characteristics of the storage solution for analytics
  • 2.2 Determine data access and retrieval patterns
  • 2.3 Select appropriate data layout, schema, structure, and format
  • 2.4 Define data lifecycle based on usage patterns and business requirements
  • 2.5 Determine the appropriate system for cataloging data and managing metadata

Domain 3: Processing

  • 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 data processing solutions

Domain 4: Analysis and Visualization

  • 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

Domain 5: Security

  • 5.1 Select appropriate authentication and authorization mechanisms
  • 5.2 Apply data protection and encryption techniques
  • 5.3 Apply data governance and compliance controls