Amazon BDS-C00 Korean : AWS Certified Big Data - Specialty (BDS-C00 Korean Version)
- Exam Code: BDS-C00-KR
- Exam Name: AWS Certified Big Data - Specialty (BDS-C00 Korean Version)
- Updated: Jul 21, 2026
- Q & A: 262 Questions and Answers
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AWS Big Data Specialty Exam Syllabus Topics:
| Section | Objectives | Weight |
|---|---|---|
| Analysis | -Determine the tools and techniques required for analysis -Determine how to design and architect the analytical solution -Determine and optimize the operational characteristics of the Analysis | 17% |
| Processing | -Identify the appropriate data processing technology for a given scenario -Determine how to design and architect the data processing solution -Determine the operational characteristics of the solution implemented | 17% |
| Storage | -Determine and optimize the operational characteristics of the storage solution -Determine data access and retrieval patterns -Evaluate mechanisms for capture, update, and retrieval of catalog entries -Determine appropriate data structure and storage format | 17% |
| Data Security | -Determine encryption requirements and/or implementation technologies -Choose the appropriate technology to enforce data governance -Identify how to ensure data integrity -Evaluate regulatory requirements | 20% |
| Visualization | -Determine the appropriate techniques for delivering the results/output -Determine how to design and create the Visualization platform -Determine and optimize the operational characteristics of the Visualization system | 12% |
| Collection | -Determine the operational characteristics of the collection system -Select a collection system that handles the frequency of data change and type of data being ingested -Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc. -Explain the durability and availability characteristics for the collection approach | 17% |
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
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Amazon BDS-C00 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Processing | 24% | - Real-time processing
|
| Topic 2: Analysis and Visualization | 18% | - Analytics tools
|
| Topic 3: Collection | 18% | - Data collection patterns
|
| Topic 4: Security | 18% | - Data protection
|
| Topic 5: Storage and Data Management | 22% | - Data storage solutions
|
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