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The Salesforce Certified Data Architect (Data-Architect日本語版) certification process for the Salesforce Data-Architect Exam involves passing a rigorous exam that tests the candidate's knowledge and skills in designing and managing data architecture on the Salesforce platform. Candidates who pass the exam will receive the Salesforce Certified Data Architect credential, which is widely recognized in the industry as a mark of excellence in data architecture. Salesforce Certified Data Architect (Data-Architect日本語版) certification also provides professionals with a competitive edge in the job market, as it demonstrates their expertise in Salesforce data architecture solutions.

Salesforce Certified Data Architect exam is intended for professionals who have extensive experience working with Salesforce data architecture and have demonstrated proficiency in designing and implementing complex data solutions. Candidates must have a deep understanding of data modelling, data governance, data integration, and data migration best practices. They must also be familiar with the latest technologies and tools used for data management in the Salesforce ecosystem. Passing the Salesforce Certified Data Architect exam is a significant achievement that demonstrates a candidate's expertise in creating and maintaining data solutions on the Salesforce platform.

Salesforce Data-Architect certification exam is designed to test the knowledge and skills of professionals in Salesforce data management. Data-Architect-JPN exam covers topics such as data modeling, data governance, data integration, data security, data analytics, and data migration. Salesforce Certified Data Architect (Data-Architect日本語版) certification exam aims to test the candidate's ability to design, implement, and manage data architecture solutions in Salesforce.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-architect---Plat-Arch-201

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Salesforce Data-Architect日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Modeling and Database Design25%- Design scalable data models
  • 1. Custom and standard object design
  • 2. Data model optimization for performance
  • 3. Object relationships and cardinality
- Indexing and data structure
  • 1. Query optimization strategies
  • 2. Standard and custom indexes
  • 3. Skinny tables and big objects
Topic 2: Salesforce Data Management25%- Sharing and visibility design
  • 1. Organization-wide defaults, role hierarchy
  • 2. Sharing rules, manual sharing, Apex sharing
  • 3. Data access and security model
- Data import and export strategies
  • 1. Migration planning and execution
  • 2. Data validation and cleansing
  • 3. Tools: Data Loader, Import Wizard, Bulk API
Topic 3: Data Integration and Master Data Management10%- Integration patterns and tools
  • 1. External data sources and objects
  • 2. Real-time vs batch integration
  • 3. REST, SOAP, and Bulk API usage
- Master data management
  • 1. MDM strategy and implementation
  • 2. Single source of truth design
  • 3. Data synchronization and consistency
Topic 4: Data Governance and Compliance20%- Data governance framework
  • 1. Compliance and regulatory requirements
  • 2. Data quality standards
  • 3. Data stewardship and ownership
- Data lifecycle management
  • 1. Data privacy and security
  • 2. Data retention and archiving policies
  • 3. Data classification and handling
Topic 5: Large Data Volume Considerations20%- Storage and optimization
  • 1. Performance tuning techniques
  • 2. Archiving and off-platform storage
  • 3. Storage limits and management
- Performance and scalability
  • 1. Governor limits and bulk processing
  • 2. Avoiding and resolving data skew
  • 3. Handling millions of records

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