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Exam Readiness: AWS Certified Data Analytics - Specialty Training Course

Course Summary

The Exam Readiness: AWS Certified Data Analytics - Specialty Training Course is designed to demonstrate the skills needed to take the AWS Certified Data Analytics - Specialty exam, which validates the ability to design, implement, deploy, and maintain data analytic solutions.

The course begins by exploring the logistics of the exam and the mechanics of exam questions. Next, it analyzes the exam's technical domains. The course concludes with a review of core AWS services, key concepts for the exam domains, and key test-taking strategies.

Prerequisites:

    • 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

AWS Authorized Training is only available in Argentina, Brazil, Canada, Chile, Colombia, Costa Rica, Mexico, United States, and Peru.

THIS COURSE IS NOT ELIGIBLE FOR TRAINING BUNDLES.

Purpose
Help students prepare for the AWS Certified Data Analytics - Specialty exam.
Audience
IT professionals, Data platform engineers/data architects, Data scientists, Data analysts, Solutions architects
Role
Data Engineer - Data Scientist - Software Developer
Skill Level
Advanced
Style
Workshops
Duration
1 Day
Related Technologies
Cloud Computing Training | AWS

 

Productivity Objectives
  • 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
  • Utilize effective strategies for studying and taking the exam

What You'll Learn:

In the Exam Readiness: AWS Certified Data Analytics - Specialty Training Course training course, you'll learn:
  • Introduction and Overview
  • Domain 1 - Data Collection Systems
    • Determine the operational characteristics of the collection system
    • Select a collection system that handles the frequency, volume, and source of data
    • Select a collection system that addresses the key properties of data, such as order, format, and compression
  • Domain 2 - Storage and Data Management Concerns
    • Determine the operational characteristics of the storage system for analytics
    • Determine data access and retrieval patterns
    • Select an appropriate data layout, schema, structure, and format
    • Define a data lifecycle based on usage patterns and business requirements
    • Determine the appropriate system for cataloging data and managing metadata
  • Domain 3 - Data Processing Solutions
    • Determine appropriate data processing solution requirements
    • Design a solution for transforming and preparing data for analysis
    • Automate and operationalize a data processing solution
  • Domain 4 - Analysis and Visualization of Analytical Data
    • Determine the operational characteristics of the analysis and visualization solution
    • Select the appropriate data analysis solution for a given scenario
    • Select the appropriate data visualization solution for a given scenario
  • Domain 5 - Security of the Data Analysis System
    • Select the appropriate authentication and authorization mechanisms
    • Apply data protection and encryption techniques
    • Apply data governance and compliance controls
  • AWS Exam Preparation
    • 20 sample exam questions
  • Course Review and Wrap-Up
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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