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SalesforceCertified Data Architect

Domain 7Objective 2

Given a Customer Scenario, Recommend Approaches for Leveraging Salesforce (and Partner) Analytics Offerings to Enhance/optimize Customer's Enterprise Analytics Capabilities as Well as Recommending Techniques to Maintain the Desired Performance Level (SOQL Queries, Reports) Given Customer's Large Data Volumes. DATA-ARCHITECT Practice Questions (Page 1)

Part of the BUSINESS INTELLIGENCE, REPORTING & ANALYTICS domain, which accounts for 10% of the DATA-ARCHITECT exam.

20questions here
4free pages
7concepts
10%of the exam

Questions 1–5

  1. 1foundation · easy

    When designing an analytics architecture that must scale to support thousands of users and large data volumes, which design principle is most important?

    Select an answer first
  2. 2foundation · easy

    Which data volume management technique is designed to improve query performance by storing a subset of frequently accessed fields in a separate, optimized table?

    Select an answer first
  3. 3foundation · easy

    A data architect is designing an enterprise analytics architecture that must combine Salesforce data with data from an external data lake. Which approach is most appropriate for this integration?

    Select an answer first
  4. 4foundation · easy

    A customer wants to perform advanced data visualization and analysis on data from multiple sources, including Salesforce and an external data warehouse. They do not require the dashboards to be embedded inside Salesforce. Which analytics tool is most appropriate for this scenario?

    Select an answer first
  5. 5foundation · easy

    A dashboard is loading slowly because it queries a large dataset every time a user opens it. Which optimization technique would most directly reduce the load time?

    Select an answer first
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