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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% |
| 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% |
| 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% |
| 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% |
| 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% |
| 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% |
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AWS BDS-C00 Exam Certification Details:
| Sample Questions | AWS BDS-C00 Sample Questions |
| Schedule Exam | PEARSON VUE |
| Exam Code | BDS-C00 |
| Exam Name | AWS Certified Big Data - Specialty (Big Data Specialty) |
| Passing Score | 750 / 1000 |
| Number of Questions | 65 |
| Duration | 170 minutes |
| Exam Price | $300 USD |
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Amazon AWS-Big-Data-Specialty Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security | 18% | - Data security and governance
|
| Storage and Data Management | 22% | - Data lake and storage design
|
| Analysis and Visualization | 18% | - Analytics and BI tools
|
| Collection | 18% | - Data ingestion and collection mechanisms
|
| Processing | 24% | - Data processing frameworks
|
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