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The AWS Certified Big Data - Specialty certification is a valuable credential for professionals in the big data industry who want to demonstrate their expertise and validate their skills. AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty Korean Version) certification can help individuals advance their careers by providing recognition of their knowledge and experience with AWS big data technologies. Additionally, companies that use AWS for their big data solutions can benefit from having certified professionals on their team, as it ensures they have the expertise necessary to design, implement, and manage their big data solutions using AWS services.
Amazon AWS-Big-Data-Specialty (AWS Certified Big Data - Specialty) exam is designed to validate the skills and expertise of professionals who work with big data technologies on Amazon Web Services (AWS) platforms. It is a highly sought-after certification for those looking to advance their careers in data analytics, data engineering, and data science.
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Amazon AWS-Big-Data-Specialty Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Domain 3: Data Processing | 17% | - Select appropriate processing frameworks and services - Design and architect data processing solutions - Optimize processing performance and cost efficiency - Determine operational characteristics of processing systems |
| Topic 2: Domain 4: Data Analysis | 17% | - Determine tools and techniques for analysis - Implement analytical operations and transformations - Design and architect analytical solutions - Optimize query performance and analysis workflows |
| Topic 3: Domain 5: Data Visualization | 12% | - Ensure accessibility and clarity of presented results - Optimize operational characteristics of visualization systems - Determine appropriate visualization techniques and tools - Design and build visualization platforms and dashboards |
| Topic 4: Domain 2: Data Storage | 17% | - Identify data access and retrieval patterns - Determine and optimize operational characteristics of storage solutions - Choose appropriate data structures and storage formats - Evaluate mechanisms for cataloging and metadata management |
| Topic 5: Domain 6: Data Security | 20% | - Implement data governance and access control - Apply security best practices for big data workloads - Ensure data integrity and compliance - Determine encryption requirements and methods |
| Topic 6: Domain 1: Data Collection | 17% | - Identify properties including order, structure, and metadata - Describe availability and durability of collection methods - Determine operational characteristics of collection systems - Select appropriate collection systems based on data type and frequency |
