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To become a Salesforce Certified Data Architect, you must first meet the prerequisites for the certification. This includes earning the Salesforce Certified Application Architect and Salesforce Certified System Architect certifications, as well as completing the Data Architecture and Management Designer certification. Once these prerequisites are met, you can then take the Salesforce Data-Architect certification exam.

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

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Salesforce Data-Architect Exam is a challenging certification program that requires candidates to demonstrate their expertise in designing and implementing data architecture solutions that meet the needs of organizations using Salesforce. Data-Architect exam covers a wide range of topics, including data modeling, data management, data governance, data security, and data migration. Candidates must also be familiar with the latest trends and best practices in data management and governance, including data privacy and compliance regulations.

Salesforce Data-Architect Exam Syllabus Topics:

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

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