AWS Certified Data Analytics Exam 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.

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

Download

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

Learn About Virtual Training

Request Information

Get your team upskilled or reskilled today. Chat with one of our experts to create a custom training proposal. Fully customized at no additional cost.

If you are not completely satisfied with your training class, we'll give you your money back.

about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

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