Instructor-led (classroom)
Intermediate
3.5 hours
English
The AWS Certified Data Analytics – Specialty exam validates technical skills and experience in designing and implementation AWS services to derive value from data. This course helps you prepare for the exam by exploring the exam’s topic areas and familiarizing you with the question style and exam approach. The course reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so you can more easily eliminate incorrect responses.
We recommend that attendees of this course have the following prerequisites:
This course is intended for:
A 360-degree learning approach that you can adapt to your learning style
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance Keep engaged with integrated teaching
Projects provide you with sample work to show prospective employers.
Real-world projects relevant to what you’re learning throughout the program
A support team focused on helping you succeed alongside a peer community
Navigate the logistics of the examination process
Collection
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
Storage and Data Management
2.1 Determine the operational characteristics of a storage solution for analytics
2.2 Determine data access and retrieval patterns
2.3 Select an appropriate data lay out ,schema ,structure ,and format
2.4 Define a data lifecycle based on usage patterns and business requirements
2.5 Determine an appropriate system for cataloging data and managing metadata
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 a data processing solution
Analysis and Visualization
4.1 Determine the operational characteristics of ananalysis and visualization solution 4.2 Select the appropriate data analysis solution foragiven scenario
4.3 Select the appropriate data visualization solution for a given scenario
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
Earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.
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