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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 2)

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 6–10

  1. 6foundation · easy

    During requirements analysis for an analytics solution, a customer states that business users need to explore data interactively and create their own visualizations without writing code. Which requirement is most important to capture?

    Select an answer first
  2. 7application · medium

    A large retail company uses Salesforce for sales transactions and stores product inventory in an external data warehouse. The sales team needs to analyze sales trends alongside inventory levels to identify stockouts. They want a solution that allows them to combine these data sources in a single analytics tool with minimal custom development. Which approach should a data architect recommend?

    Select an answer first
  3. 8application · medium

    A marketing agency reports that a SOQL query used in a Lightning component is timing out. The query filters on a custom field 'Lead_Source__c' that is not indexed. The data architect needs to diagnose the issue. Which tool should the architect use to confirm that the query is non-selective?

    Select an answer first
  4. 9application · medium

    A sales operations team reports that a specific report is running slowly. The report joins multiple objects and filters on a custom field that is not indexed. The data architect needs to identify the cause of the slow performance. Which tool or log should the architect use first?

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  5. 10application · medium

    A manufacturing company has a custom object 'Work_Order__c' with 100 million records. Users need to run reports and SOQL queries on recent work orders, but the large data volume is causing performance issues. The company wants to retain historical data for compliance but does not need it for daily operations. Which strategy should a data architect recommend?

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