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The brand new AWS Big Data - Specialty certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into a Big Data and Analytics professional. Get prepared to take this exam and become one of the very first AWS Big Data Certified professionals in the world using our AWS Certified Big Data - Specialty Exam Dumps
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
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AWS BDS-C00 Exam Certification Details:
| Exam Code | BDS-C00 |
| Passing Score | 750 / 1000 |
| Number of Questions | 65 |
| Exam Price | $300 USD |
| Sample Questions | AWS BDS-C00 Sample Questions |
| Exam Name | AWS Certified Big Data - Specialty (Big Data Specialty) |
| Duration | 170 minutes |
| Schedule Exam | PEARSON VUE |
Steps for AWS Certified Big Data - Specialty Certifications Exam Booking
- Search for AWS Certified Big Data - Specialty Certifications Exam
- Select Date and Center of examination and confirm with payment value of 300$
- Visit to website https://www.aws.training
- Signup/Login to AWS account
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AWS Big Data Specialty Exam Syllabus Topics:
| Section | Objectives | Weight |
|---|---|---|
| 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% |
| 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% |
| 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% |
| 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% |
| 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% |
| 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% |
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