Compare and Contrast Various Techniques, Approaches and Considerations for Capturing and Managing Business and Technical Metadata (e.g., Business Dictionary, Data Lineage, Taxonomy, Data Classification). DATA-ARCHITECT Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   In a business dictionary, which of the following is typically captured for a business term?

   • AThe ETL job name that populates the underlying table
   • BThe definition, aliases, and related business terms
   • CThe encryption algorithm used for the data field
   • DThe database column name and data type
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A data governance team is planning a metadata management initiative. They have identified that data quality issues are affecting reporting. They need to decide whether to focus on data quality or metadata management first. What is the best approach?

   • AFocus on metadata management first, assuming data quality will improve
   • BDo both simultaneously with no prioritization
   • CDefer both until after the next reporting cycle
   • DAddress data quality issues first, then use metadata to document the improvements
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   What is the primary purpose of a business glossary in a data governance program?

   • ATo provide a common vocabulary of business terms with their definitions and relationships
   • BTo track the daily data quality scores of critical data elements
   • CTo store the physical schema of all databases in the organization
   • DTo record the access permissions for each data asset
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   Which of the following best describes a taxonomy in data management?

   • AA hierarchical classification of data assets into categories and subcategories
   • BA record of data access logs
   • CA set of rules for data transformation
   • DA flat list of all data assets in the organization
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A data governance team wants to organize all data assets in their catalog into a hierarchical structure that reflects business functions, such as Sales > Opportunities > Revenue. This will help users discover relevant data. What should they implement?

   • AA data dictionary with field definitions
   • BA taxonomy with parent-child categories
   • CSensitivity labels for each asset
   • DA flat list of all data assets
   Reveal Solution Discussion Select an answer first