Given a Customer Scenario, Recommend Approaches and Techniques for Consolidating Data Attributes from Multiple Sources. Discuss Criteria and Methodology for Picking the Winning Attributes (data Survivorship Rules). DATA-ARCHITECT Practice Questions (Page 6)

Questions 26–27

1. 26expert · hard

   A multinational corporation is consolidating customer data from subsidiaries in different regions. Each subsidiary has its own CRM and follows local data protection regulations. The data architect must define survivorship rules that satisfy both global reporting needs and regional compliance. Which approach best balances these requirements?

   • AUse a single global source of truth for all attributes to ensure consistency
   • BLet each subsidiary define its own survivorship rules independently
   • CDefine attribute-level survivorship rules that respect regional legal sources of truth and apply them globally
   • DUse the most recently updated value from any subsidiary
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   A data architect is documenting survivorship rules for customer data. The governance team requires that all survivorship rules be reviewed and approved before implementation. Why is this alignment important?

   • ATo eliminate the need for data lineage tracking
   • BTo reduce the need for data quality checks
   • CTo ensure the rules comply with business requirements and governance policies
   • DTo speed up the data consolidation process
   Reveal Solution Discussion Select an answer first