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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collection | 17% | - Select appropriate data ingestion mechanisms - Explain durability and availability aspects - Determine operational characteristics of collection systems - Identify data properties and structure requirements |
| Topic 2: Visualization | 12% | - Design visualization solutions - Optimize visualization performance - Determine visualization methods |
| Topic 3: Data Security | 20% | - Determine encryption requirements and technologies - Evaluate security against regulatory needs - Choose governance and access control mechanisms - Ensure data integrity and compliance |
| Topic 4: Processing | 17% | - Design and architect processing solutions - Select appropriate processing technologies - Evaluate operational characteristics of solutions |
| Topic 5: Analysis | 17% | - Determine tools and techniques for analysis - Optimize analytical performance and operations - Design analytical solutions |
| Topic 6: Storage | 17% | - Appropriate storage formats and data structure - Mechanisms for catalog capture/update - Determine and optimize storage characteristics - Data access and retrieval patterns evaluation |
AWS Certified Big Data - Specialty (AWS-Certified-Big-Data-Specialty日本語版)
AWS Certified Big Data - Specialty (BDS-C00日本語版)
AWS Certified Big Data - Specialty
AWS Certified Big Data - Specialty (BDS-C00 Korean Version)
AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty日本語版)
AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty Korean Version)
AWS Certified Big Data - Specialty
AWS Certified Big Data - Specialty (AWS-Certified-Big-Data-Specialty Korean Version)
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