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SalesforceCertified Data Architect

Domain 1Objective 2

Given a Customer Scenario, Design a Data Model That Is Scalable, Supports All Business Processes with Appropriate Level of Customizations (click vs. Code), While Considering Performance for Large Data Volumes. DATA-ARCHITECT Practice Questions (Page 1)

Part of the DATA MODELING domain, which accounts for 20% of the DATA-ARCHITECT exam.

14questions here
3free pages
4concepts
20%of the exam

Questions 1–5

  1. 1foundation · easy

    A data architect is designing a Salesforce data model for a new application. Which design principle is most directly associated with ensuring the model remains scalable as data volume and user load increase?

    Select an answer first
  2. 2application · medium

    A university needs to track student enrollments in courses. Each student can enroll in multiple courses, and each course can have multiple students. They also need to track the grade a student received in each course. Which data model best supports this business process?

    Select an answer first
  3. 3foundation · easy

    Which data modeling practice is most likely to help a Salesforce data model scale effectively as the number of records grows?

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  4. 4application · medium

    A non-profit organization needs to track donations and campaign responses. They have a small IT team with no developers and need to implement a solution quickly. The business process requires that when a donation is received, the related campaign's total donation amount is updated. Which approach is most appropriate?

    Select an answer first
  5. 5expert · medium

    A financial services company is designing a data model for client accounts and transactions. They have a requirement to support multiple business processes, including account management, transaction reporting, and compliance auditing. They expect to have millions of accounts and hundreds of millions of transactions. The compliance team needs to be able to query transaction data for a specific account over a specific date range quickly. Which data model approach best balances scalability, business process support, and performance?

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