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| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Interoperability | |
| Topic 2: Data Architecture | |
| Topic 3: Data Security | |
| Topic 4: Data Quality Management | |
| Topic 5: Data Storage and Operations | |
| Topic 6: Metadata Management | |
| Topic 7: Data Modeling and Design | |
| Topic 8: Data Warehousing and Business Intelligence | |
| Topic 9: Reference and Master Data | |
| Topic 10: Document and Content Management | |
| Topic 11: Data Governance |
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NEW QUESTION # 296
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
Answer: A
NEW QUESTION # 297
The TOGAF framework does NOT include a(n):
Answer: A
Explanation:
TOGAF (The Open Group Architecture Framework) includes a business focus, enterprise continuum, metamodel, and methods, but it does not define a specific maturity model. The DAMA-DMBOK notes:
"TOGAF provides a framework with a business focus, enterprise continuum, metamodel for content, and methods for architecture development, but maturity models are typically external or organization-specific" (DMBOK2, Chapter 4: Data Architecture, p. 159).
Options A, B, C, and D are core TOGAF components, making E the correct answer.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.1, p. 159.
NEW QUESTION # 298
Over a decade an organization has rationalized implementation of party concepts from 48 systems to 3. This is a result of good:
Answer: E
Explanation:
Rationalizing party concepts across systems requires a strong data architecture to standardize data models and data governance to enforce policies. The DAMA-DMBOK states: "Data architecture provides the framework for standardizing data entities, such as party concepts, while data governance ensures compliance and consistency across systems during rationalization efforts" (DMBOK2, Chapter 4: Data Architecture, p. 145; Chapter 3: Data Governance, p. 109).
Options A, B, C, and D are less comprehensive: operations (A) and warehousing (D) are tactical, quality (B) is a benefit, and metadata (C) is supportive but not primary.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 3.3, p. 145; Chapter 3: Data Governance, Section 2.2, p. 109.
NEW QUESTION # 299
Your organization has many employees with official roles as data stewards and data custodians, but they don't seem to know exactly what they're supposed to be doing. Which of the following is most likely to be a root cause of this problem?
Answer: D
NEW QUESTION # 300
Multiple data warehouses, lakes, and swamps are an indicator that the organisation values:
Answer: A
Explanation:
The correct answer is C. A proliferation of separate warehouses, lakes, and unmanaged "swamps" commonly signals a technology-first approach in which platforms are acquired independently rather than governed through a coherent enterprise data architecture. DAMA distinguishes managing data from managing information technology and describes a data-centric organization as one that treats data as an enterprise asset across its lifecycle. A single point of truth does not necessarily mean one physical database, but it does require authoritative definitions, governed sources, consistent metadata, and controlled integration. Multiple disconnected repositories increase duplication, inconsistency, lineage problems, and conflicting versions of business facts. Therefore, the strongest interpretation is that the organization is prioritizing technology acquisition over establishing a governed and authoritative view of enterprise data.
NEW QUESTION # 301
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