Amazon BDS-C00日本語 Valid Test : AWS Certified Big Data - Specialty (BDS-C00日本語版)

  • Exam Code: BDS-C00-JPN
  • Exam Name: AWS Certified Big Data - Specialty (BDS-C00日本語版)
  • Updated: Jul 24, 2026
  • Q&As: 262 Questions and Answers

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Amazon AWS-Big-Data-Specialty (AWS Certified Big Data - Specialty) Exam is a certification program offered by Amazon Web Services (AWS) for data professionals who specialize in big data solutions. BDS-C00-JPN exam is designed to validate a candidate's knowledge and skills in designing and implementing big data solutions using AWS tools and services. The AWS-Big-Data-Specialty certification is highly recognized in the industry and is an excellent way for data professionals to demonstrate their expertise in big data solutions.

The Amazon BDS-C00-JPN exam is a multiple choice, multiple response and scenario-based exam that covers both theoretical and practical aspects of Big Data. BDS-C00-JPN exam is designed to test your proficiency in Big Data tools and technologies, data analysis, data security, data processing, AWS services and more. Passing BDS-C00-JPN exam demonstrates your ability to design and implement Big Data solutions using AWS services and can help you in advancing your career in Big Data Analytics.

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

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To take the AWS Certified Big Data - Specialty Exam, candidates must meet certain eligibility requirements. They must have at least five years of experience in data analytics, data warehousing, or other big data related fields. They should also have a good understanding of AWS services and should have completed at least one AWS certification exam. Additionally, candidates must be able to demonstrate their proficiency in designing and implementing big data solutions using AWS services.

Amazon BDS-C00日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analysis17%- Data Analysis and Visualization
  • 1. Build reporting and visualization solutions
  • 2. Optimize analytics workloads
  • 3. Query and analyze datasets
Topic 2: Processing17%- Data Processing
  • 1. Transform and prepare data for analysis
  • 2. Implement stream processing solutions
  • 3. Implement batch processing solutions
Topic 3: Storage17%- Storage and Data Management
  • 1. Select appropriate AWS storage services
  • 2. Design data storage solutions
  • 3. Determine data access and lifecycle requirements
Topic 4: Security32%- Security and Data Governance
  • 1. Apply data governance best practices
  • 2. Protect data at rest and in transit
  • 3. Implement authentication and authorization controls
  • 4. Implement monitoring, auditing, and compliance controls
Topic 5: Collection17%- Data Collection
  • 1. Determine operational characteristics of collection systems
  • 2. Select appropriate AWS services for data ingestion
  • 3. Design data collection solutions for batch and streaming data

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