NEW DMF-1220 BRAINDUMPS SHEET: FREE PDF 2025 DAMA REALISTIC NEW DATA MANAGEMENT FUNDAMENTALS BRAINDUMPS

New DMF-1220 Braindumps Sheet: Free PDF 2025 DAMA Realistic New Data Management Fundamentals Braindumps

New DMF-1220 Braindumps Sheet: Free PDF 2025 DAMA Realistic New Data Management Fundamentals Braindumps

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Tags: New DMF-1220 Braindumps Sheet, New DMF-1220 Braindumps, Relevant DMF-1220 Questions, Authentic DMF-1220 Exam Questions, New DMF-1220 Test Book

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The DMF-1220 exam is an entry-level certification program that is ideal for professionals who are new to the field of data management. DMF-1220 exam covers a broad range of topics, including data governance, data modeling, data quality, data integration, and data security. DMF-1220 exam is designed to validate the candidates' ability to apply these concepts in real-world scenarios.

DAMA DMF-1220 (Data Management Fundamentals) Certification Exam is an essential certification that provides a comprehensive understanding of data management principles and practices. Data Management Fundamentals certification is ideal for data management professionals who want to deepen their knowledge and skills in the field. DMF-1220 Exam covers various topics, including data governance, data architecture, data modeling, data quality, and data security.

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DAMA Data Management Fundamentals Sample Questions (Q643-Q648):

NEW QUESTION # 643
Time-based patterns are used when data values must be associated in chronological order and with specific time values.

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 644
If data is a governed resource, like other resources (e.g., human resources, finance, property), how is Data Governance different from other types of Governance?

  • A. Ensuring compliance with regulation for the particular resource
  • B. Agreed models for risk management over the particular resource
  • C. Agreed models for decision making and decision rights, defined authority, and escalation paths for the resource
  • D. Oversight of a resource that represents other resources, therefore supporting other resource governance
  • E. Oversight of a particular resource

Answer: D

Explanation:
Data governance is unique because data represents other resources (e.g., financial data represents money, customer data represents people), making it foundational to other governance types. The DAMA-DMBOK states: "Data governance differs from other governance disciplines because data is a resource that represents other resources, enabling and supporting governance of finance, HR, and other assets" (DMBOK2, Chapter 3:
Data Governance, p. 105). Options A, B, D, and E describe general governance aspects but do not highlight data's unique representational role.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.2, p. 105.


NEW QUESTION # 645
In Data Modelling, the generalization of the concept of person and organization into a party enables:

  • A. The implementation of relationships between persons and organizations
  • B. Them to act in roles in agreements, shared address usages, and common interaction processes
  • C. Faster implementation into packages that use the same vocabulary
  • D. Greater security as users are unaware if this party is a person or an organization
  • E. Single person organizations to be managed consistently

Answer: B

Explanation:
Generalizing persons and organizations into a "party" entity allows them to assume roles in agreements, share addresses, and participate in common processes. The DAMA-DMBOK states: "The party concept in data modeling generalizes persons and organizations, enabling them to act in roles (e.g., customer, supplier) and share attributes like addresses or interactions" (DMBOK2, Chapter 5: Data Modeling and Design, p. 187).
Options A, B, C, and E are less accurate: A is too narrow, B is a secondary benefit, C is implementation- specific, and E is unrelated to modeling.
Reference:DAMA-DMBOK2, Chapter 5: Data Modeling and Design, Section 3.5, p. 187.


NEW QUESTION # 646
What is the final step in the development of a business-data-driven roadmap?

  • A. Describe the Data Value Chain that supports the Business Capabilities
  • B. Resolve Data Dependency challenges
  • C. Resequencing of some of the business capabilities to resolve data dependencies
  • D. Establish the sequence of projects that will be used to establish the data value chain
  • E. Finalize the Data flow between business capabilities

Answer: D

Explanation:
The final step in a business-data-driven roadmap is to establish the sequence of projects that implement the data value chain, prioritizing initiatives to deliver business value. The DAMA-DMBOK states: "The development of a data-driven roadmap concludes with establishing a prioritized sequence of projects to build the data value chain, aligning data initiatives with business capabilities" (DMBOK2, Chapter 4: Data Architecture, p. 153).
Options A, B, D, and E are earlier steps: describing the value chain (A), finalizing data flow (B), resequencing capabilities (D), and resolving dependencies (E) precede project sequencing.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 4.4, p. 153.


NEW QUESTION # 647
When selecting a DMM framework one should consider of it is repeatable.

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 648
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