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Amazon AWS Certified Big Data - Specialty (BDS-C00 Korean Version) : BDS-C00 Korean

BDS-C00 Korean Exam Simulator
  • Exam Code: BDS-C00-KR
  • Exam Name: AWS Certified Big Data - Specialty (BDS-C00 Korean Version)
  • Updated: Jul 19, 2026
  • Q & A: 262 Questions and Answers
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Amazon BDS-C00 Korean exam simulator

AWS BDS-C00 Exam Certification Details:

Schedule ExamPEARSON VUE
Exam Price$300 USD
Exam NameAWS Certified Big Data - Specialty (Big Data Specialty)
Passing Score750 / 1000
Exam CodeBDS-C00
Number of Questions65
Sample QuestionsAWS BDS-C00 Sample Questions
Duration170 minutes

Difficulty in writing AWS Certified Big Data - Specialty Exam

The AWS Certified Big Data Specialty exam is one of the toughest exams and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Big Data technologies on AWS. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data.

Reference: https://aws.amazon.com/certification/certified-big-data-specialty/

AWS Big Data Specialty Exam Syllabus Topics:

SectionObjectivesWeight
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%
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%
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%
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%
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%

Amazon BDS-C00 Korean Exam Syllabus Topics:

SectionWeightObjectives
Domain 6: Data Security20%- Ensure data integrity and compliance
- Apply security best practices for big data workloads
- Determine encryption requirements and methods
- Implement data governance and access control
Domain 3: Data Processing17%- Select appropriate processing frameworks and services
- Optimize processing performance and cost efficiency
- Design and architect data processing solutions
- Determine operational characteristics of processing systems
Domain 1: Data Collection17%- Describe availability and durability of collection methods
- Determine operational characteristics of collection systems
- Identify properties including order, structure, and metadata
- Select appropriate collection systems based on data type and frequency
Domain 5: Data Visualization12%- Optimize operational characteristics of visualization systems
- Determine appropriate visualization techniques and tools
- Ensure accessibility and clarity of presented results
- Design and build visualization platforms and dashboards
Domain 4: Data Analysis17%- Design and architect analytical solutions
- Implement analytical operations and transformations
- Optimize query performance and analysis workflows
- Determine tools and techniques for analysis
Domain 2: Data Storage17%- 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

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