Examples of concepts that can be standardized within the data architecture knowledge area include:
A. Enterprise data modelsData governance requires control mechanisms and procedures for, but not limited to, assignment and tracking of action items.
A. FALSEAll metadata management solutions include architectural layers including:
A. Metadata Quality Assurance TestingThere are three techniques for data-based change data capture, namely:
A. The source system populates specific data elements.The minority of operational metadata is generated as data is processed.
A. TRUEA successful Data Governance program requires that all enterprise data be certified.
A. FALSECritical Data is most often used in
A. Regulatory, financial, or management reportingSnowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.
A. TRUEIn gathering requirements for DW/BI projects, begin with the data goals and strategies first.
A. TRUEA Golden Record' means that it is always a 100% complete and accurate representation of all entities within the organization.
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