Given a Customer Scenario, Recommend Appropriate Techniques and Methods for Ensuring High Data Quality at the Point of Entry, Such as Client/server Side Validation Rules, Workflows, Approvals, Data.com Clean, Duplicate Prevention. DATA-ARCHITECT Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A retail company uses Salesforce to manage customer accounts. They want to ensure that when a sales rep creates a new account, the phone number is in a valid format. They also want to enrich the account with industry data from an external source. Which combination of techniques should be used?

   • ACreate a validation rule for the phone format and enable Data.com Clean for accounts.
   • BCreate a workflow rule to validate the phone format and a duplicate rule to prevent duplicates.
   • CCreate an approval process for new accounts and a validation rule for phone format.
   • DCreate a client-side validation in the UI for phone format and a workflow rule to enrich industry data.
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which of the following is a characteristic of server-side validation rules?

   • AThey are defined in the user's browser and execute locally
   • BThey are used to automatically approve records without human intervention
   • CThey are evaluated on the server and can prevent a record from being saved if the condition is met
   • DThey only run when a record is edited from the Salesforce mobile app
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   What is the purpose of duplicate prevention rules in Salesforce?

   • ATo standardize data using external data sources
   • BTo block the creation of records that match an existing record based on defined criteria
   • CTo automatically merge duplicate records without user intervention
   • DTo require human approval before a record is saved
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A marketing agency uses Salesforce to manage leads. They want to prevent duplicate leads based on email address, but they also want to enrich leads with company information from Data.com. The agency has a strict budget and wants to minimize manual effort. Which combination of techniques should be used?

   • ACreate a duplicate rule with a matching rule on Email, and enable Data.com Clean for leads.
   • BCreate a workflow rule that checks for existing leads with the same email, and enable Data.com Clean.
   • CCreate an approval process for all new leads, and use Data.com Clean for enrichment.
   • DCreate a validation rule that requires Email to be unique, and use Data.com Clean for enrichment.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Why are server-side validation rules important for ensuring data quality across all entry points?

   • AThey require human approval before a record can be saved
   • BThey execute on the server and apply consistently to data entered through any interface, including APIs and integrations
   • CThey run in the user's browser and provide immediate feedback
   • DThey automatically correct invalid data by updating fields
   Reveal Solution Discussion Select an answer first