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| Section | Objectives |
|---|---|
| Data Modeling and Design | |
| Metadata Management | |
| Data Integration and Interoperability | |
| Data Storage and Operations | |
| Reference and Master Data | |
| Data Security | |
| Data Governance | |
| Data Quality Management | |
| Document and Content Management | |
| Data Architecture | |
| Data Warehousing and Business Intelligence |
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NEW QUESTION # 676
A key feature of Bill Inmon's approach to data warehousing is:
Answer: E
Explanation:
Bill Inmon's approach to data warehousing emphasizes a normalized relational model (Enterprise Data Warehouse) to store data, ensuring scalability and flexibility. The DAMA-DMBOK states: "Inmon's data warehousing approach uses a normalized relational model to store data, enabling enterprise-wide integration and supporting diverse reporting needs" (DMBOK2, Chapter 9: Data Warehousing and Business Intelligence, p. 349).
Options A, B, D, and E are incorrect: A relates to Kimball's approach, B is also Kimball's focus, D contradicts Inmon's analytical focus, and E is platform-agnostic.
Reference:DAMA-DMBOK2, Chapter 9: Data Warehousing and Business Intelligence, Section 3.2, p. 349.
NEW QUESTION # 677
Subtype absorption: The subtype entity attributes are included as nullable columns into a table representing the supertype entity
Answer: A
NEW QUESTION # 678
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.
Answer: A
NEW QUESTION # 679
The flow of data in a data integration solution does not have to be designed and documented.
Answer: B
NEW QUESTION # 680
The load step of the ETL is physically storing or presenting the results of the transformation into the source system.
Answer: B
NEW QUESTION # 681
......
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