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Salesforce Certified Data Architect Certification Exam Crack

Salesforce Certified Data Architect Certification Exam Crack

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Exam Title: Salesforce Certified Data Architect Certification Exam

Vendor: Salesforce

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The Salesforce Certified Data Architect exam covers topics like: Data Modeling/Database Design (25%), Salesforce Data Management (25%), Large Data Volume Considerations (20%), Data Migration (15%), Data Governance (10%), and Master Data Management (5%); essentially focusing on designing scalable and performant data solutions within the Salesforce platform, including managing large data volumes, data quality, and data migration strategies. 

Key areas within these topics include:
  • Data Modeling:

    Understanding standard Salesforce objects, relationships between objects (master-detail, lookup), custom fields, and designing efficient data structures to meet business requirements. 

  • Database Design:

    Concepts like data redundancy, normalization, indexing, and optimizing queries for performance. 

  • Salesforce Data Management:

    Utilizing features like data cleansing tools, duplicate management, workflow rules, and data quality checks. 

  • Large Data Volume Considerations:

    Strategies for handling large datasets, including bulk API, external data objects, skinny tables, and efficient data loading techniques. 

  • Data Migration:

    Planning and executing data migration processes from legacy systems to Salesforce, considering data cleansing, transformation, and validation steps. 

  • Data Governance:

    Establishing data ownership, access controls, data quality standards, and data stewardship practices. 

  • Master Data Management (MDM):

    Identifying and managing unique master data across the Salesforce platform to ensure consistency. 

Important aspects to consider:
  • Understanding the Salesforce data model:

    Knowing the standard objects, their relationships, and how to leverage them effectively. 

  • Performance optimization:

    Identifying potential performance bottlenecks and implementing solutions like optimized queries, batch Apex, and proper indexing. 

  • Data security and privacy:

    Implementing appropriate data security measures based on Salesforce security features and data privacy regulations. 

  • Integration considerations:
    Designing data integration strategies with external systems using tools like Salesforce Connect or APIs. 

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