Amazon DAS-C01 Exam Syllabus
Start Free DAS-C01 Exam Practice After Reviewing the Topics
Before starting your DAS-C01 exam preparation, it is recommended to review the complete Amazon AWS Certified Data Analytics - Specialty exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free DAS-C01 questions. We also provide premium DAS-C01 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
Amazon
Vendor
DAS-C01
Exam Code
207
Total Questions
5
Total Exam Domains
Amazon DAS-C01 Exam Objectives
| Section 1: Domain 1: Collection | |
|
Weight: 18% |
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 asorder, format, and compression |
| Section 2: Domain 2:Storage and Data Management | |
|
Weight: 22% |
2.1 Determine the operational characteristics of astorage solution for analytics
2.2 Determinedata access and retrievalpatterns 2.3 Selectanappropriate data layout, schema, structure, and format 2.4 Defineadata lifecycle based on usage patterns and business requirements 2.5 Determineanappropriate system for cataloging data and managing metadata |
| Section 3: Domain 3: Processing | |
|
Weight: 24% |
3.1 Determineappropriate data processing solution requirements
3.2 Designa solution for transforming and preparing data for analysis 3.3 Automate and operationalize adata processing solution |
| Section 4: Domain 4: Analysis and Visualization | |
|
Weight: 18% |
4.1 Determinethe operational characteristics of ananalysis 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 |
| Section 5: Domain 5: Security | |
|
Weight: 18% |
5.1 Select appropriate authentication and authorization mechanisms
5.2 Apply data protection and encryption techniques 5.3 Apply data governance and compliance controls |
| Info | |