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Updated: Jul 23, 2026

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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.

Amazon AWS-Big-Data-Specialty Korean Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified Big Data - Specialty
Exam Number:BDS-C00
Available Languages:English, Japanese, Korean, Simplified Chinese
Exam Price:$300 USD
Passing Score:750 (scaled score 100-1000)
Exam Duration:170 minutes
Certificate Validity Period:3 years
Real Exam Qty:65
Exam Format:Multiple-choice, Multiple-response, Scenario-based
Related Certifications:AWS Certified Data Analytics - Specialty (DAS-C01)
Recommended Training:AWS Big Data Learning Path
AWS Big Data Specialty Official Training
Exam Registration:AWS Certification Portal
Pearson VUE Scheduling
Sample Questions:Amazon AWS-Big-Data-Specialty Korean Sample Questions
Exam Way:Online proctored or in-person at Pearson VUE testing centers
Pre Condition:No mandatory prerequisites; recommended: 2+ years hands-on AWS experience, 5+ years analytics/IT experience, familiarity with big data services and architecture
Official Syllabus URL:https://d1.awsstatic.com/training-and-certification/docs-bigdata-spec/AWS_Certified_Big_Data_Specialty_Exam_Guide_v1.2.pdf

AWS Big Data Specialty Exam Syllabus Topics:

SectionObjectivesWeight
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%
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%
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%

AWS Certified Big Data - Specialty Exam Dumps will be helping you

AWS Certified Big Data - Specialty Exam Dumps will be helping you out to overcome with all these hurdles. For more info visit: - AWS Certified Big Data - Specialty Exam Reference - AWS Whitepapers

  • Migrating Applications to AWS: Guide and Best Practices. - AWS Documentation
  • Big Data Analytics Options on AWS.
  • Streaming Data Solutions on AWS with Amazon Kinesis.
  • AWS Database Migration Service Best Practice.

Steps for AWS Certified Big Data - Specialty Certifications Exam Booking

  • Select Date and Center of examination and confirm with payment value of 300$
  • Signup/Login to AWS account
  • Search for AWS Certified Big Data - Specialty Certifications Exam
  • Visit to website https://www.aws.training

Reference: https://d1.awsstatic.com/training-and-certification/docs-bigdata-spec/AWS%20Certified%20Big%20Data%20-%20Specialty_Exam%20Guide_v1.4_FINAL.pdf

Amazon AWS-Big-Data-Specialty Korean Exam Syllabus Topics:

SectionWeightObjectives
Analysis17%- Optimize performance and cost of analysis workflows
- Design and implement analytical solutions
- Determine analysis tools and techniques
Storage17%- Choose appropriate data structures and storage formats
- Analyze data access and retrieval patterns
- Determine and optimize storage operational characteristics
- Evaluate cataloging and metadata management mechanisms
Processing17%- Optimize operational characteristics of processing systems
- Design and architect scalable processing solutions
- Select suitable processing technologies for workloads
Data Security20%- Apply security best practices across data lifecycle
- Determine encryption requirements and implementation
- Implement data governance and access controls
- Ensure data integrity and compliance
Collection17%- Determine operational characteristics of collection systems
- Explain durability and availability of ingestion approaches
- Identify required properties: order, structure, metadata
- Select appropriate ingestion systems for data type and change frequency
Visualization12%- Optimize operational characteristics of visualization systems
- Select appropriate output and visualization techniques
- Design and build visualization platforms

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