Given a Customer Scenario, Identify the Issues Impacting Data Quality Along Key Dimensions (such as Data Duplication, Completeness, Accuracy, Integrity, Etc.). DATA-ARCHITECT Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which data quality dimension specifically addresses the presence of multiple records that represent the same real-world entity?

   • ADuplication
   • BAccuracy
   • CIntegrity
   • DCompleteness
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   A data architect discovers that some Opportunity records reference Account IDs that do not exist in the Account table. Which data quality dimension is most directly compromised?

   • AIntegrity
   • BDuplication
   • CCompleteness
   • DAccuracy
   Reveal Solution Discussion Select an answer first
4. 8expert · hard

   A global company has a Salesforce org with data from multiple regions. They are experiencing both duplicate Account records and inaccurate 'Industry' field values. The duplicates are causing confusion in reporting, and the inaccurate industry values are causing marketing campaigns to target the wrong segments. The company has limited resources and wants to address the issue that will have the greatest impact on marketing campaign effectiveness. Which issue should be prioritized?

   • ANeither issue is critical
   • BBoth issues equally
   • CDuplicate Account records
   • DInaccurate 'Industry' field values
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which consequence is most directly associated with data duplication in a customer relationship management (CRM) system?

   • AIncreased data storage costs that always exceed the budget
   • BInaccurate reporting and inflated metrics, such as counting the same customer multiple times
   • CImproved data accuracy because more records provide more information
   • DEnhanced data completeness because each record may have different fields filled
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   A data architect is reviewing a customer's data quality issues. Which statement correctly describes the relationship between data quality dimensions and data reliability?

   • AData reliability is solely determined by data accuracy, and other dimensions like duplication and completeness have no impact.
   • BData quality dimensions such as duplication, completeness, accuracy, and integrity collectively determine how reliable the data is for business use.
   • CData quality dimensions are independent of each other, and each dimension has no effect on the overall reliability of the data.
   • DData reliability is only affected by data integrity, while other dimensions are irrelevant for decision-making.
   Reveal Solution Discussion Select an answer first