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The AWS Certified Big Data - Specialty certification exam is intended for individuals who have a minimum of two years of experience working with AWS services in a data analytics role. Candidates must also have a solid understanding of data warehousing concepts, data modeling, data visualization, and data analysis techniques. AWS Certified Big Data - Specialty (BDS-C00 Korean Version) certification exam is a rigorous test of the candidate's knowledge and skills in these areas.
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
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The AWS Certified Big Data - Specialty certification is an essential credential for big data professionals who want to demonstrate their expertise in using AWS services to design and implement big data solutions. It is a highly respected certification in the industry and can open up new career opportunities for certified professionals.
Amazon BDS-C00 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Processing | 17% | - Choose suitable processing technologies for given scenarios - Design and architect scalable data processing solutions - Assess operational characteristics of processing systems |
| Collection | 17% | - Explain durability and availability of collection approaches - Select appropriate collection system based on data type and frequency - Identify properties to enforce: order, structure, metadata - Determine operational characteristics of the collection system |
| Data Security | 20% | - Evaluate regulatory and compliance requirements - Select technologies for data governance and compliance - Determine encryption requirements and implementation - Ensure data integrity and access control |
| Visualization | 12% | - Design and build visualization platforms - Optimize performance and usability of visualization systems - Determine techniques for delivering analysis results |
| Storage | 17% | - Optimize operational characteristics of storage solutions - Evaluate cataloging and metadata management mechanisms - Select appropriate data structures and formats - Determine data access and retrieval patterns |
| Analysis | 17% | - Optimize operational characteristics of analysis workflows - Design and architect analytical solutions - Identify appropriate tools and techniques for analysis |
