100% Pass Quiz 2026 Perfect DMF-1220: Data Management Fundamentals Pdf Pass Leader

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DAMA DMF-1220 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Architecture	12%	- Enterprise data architecture - Data modeling and design - Architecture components and layers
Topic 2: Data Quality	12%	- Assessment and improvement - Data cleansing - Quality dimensions
Topic 3: Data Integration and Interoperability	10%	- ETL and ELT processes - Data exchange standards - Integration patterns
Topic 4: Data Governance	15%	- Data stewardship - Compliance and ethics - Governance framework and policies
Topic 5: Reference and Master Data	5%	- Management processes - Definitions and purpose
Topic 6: Data Modeling and Design	10%	- Conceptual, logical, physical models - Modeling standards and methods
Topic 7: Data Management Concepts	10%	- DAMA-DMBOK framework - Data management roles and responsibilities - Definitions and principles
Topic 8: Data Storage and Operations	8%	- Data lifecycle management - Database operations - Storage technologies
Topic 9: Data Security	10%	- Security principles - Privacy and protection - Access control
Topic 10: Metadata Management	8%	- Metadata repositories - Metadata lifecycle - Types of metadata

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DAMA Data Management Fundamentals Sample Questions (Q723-Q728):

NEW QUESTION # 723
Activities that drive the goals in the context diagram are classified into the following phases:

A. Plan, Do, Check, Act
B. Plan, Develop, Operate, Control
C. Planning, Analysis, Design, Implementation & Maintenance
D. Measure, Develop, Implement, Monitor, Improve

Answer: B

NEW QUESTION # 724
What are the components of a Data Governance Readiness Assessment?

A. Assess best practices, data metrics, and data quality
B. Compliance to internal standards, Data Security, Data Privacy rules
C. Data Management Maturity, Capacity to Change, Collaborative Readiness and Business Alignment
D. Capacity to change, Establish standards. Data Quality skills, Data Stewardship productivity
E. Capacity to change, Establish Stewardship, Business Alignment and Metadata Repository

Answer: C

NEW QUESTION # 725
The scope and focus of any data governance program depend on organizational needs, but most programs include:

A. Oversight
B. Compliance
C. Strategy
D. All of the above
E. Data Management Projects
F. Policy

Answer: D

NEW QUESTION # 726
To become data-centric, organizations need to think differently. They need to recognize:

A. That managing data is the same as making better business decisions
B. That managing data is different from managing IT
C. That managing data is the same as managing finance
D. That managing data is the same as delivering reporting
E. That managing data is the same as managing IT

Answer: B

Explanation:
Data-centric organizations distinguish data management from IT management. The DAMA-DMBOK states:
"A data-centric organization recognizes that managing data is distinct from managing IT, focusing on data as a strategic asset separate from technology infrastructure" (DMBOK2, Chapter 1: Data Management, p. 17).
Option B is correct.
Reference:DAMA-DMBOK2, Chapter 1: Data Management, Section 2.1, p. 17.

NEW QUESTION # 727
The seven Vs of Big Data are:

A. Volume, Vector, Variety, Vocabulary, Viscosity, Volatility, Veracity
B. Volume, Velocity, Variety, Variability, Viscosity, Volatility, Veracity
C. Volume, Vector, Variety, Vocabulary, Viscosity, Voiced, Veracity
D. Volume, Velocity, Variety, Vocabulary, Viscosity, Volatility, Veracity
E. Volume, Vector, Variety, Vocabulary, Viscosity, Vexation, Veracity

Answer: B

Explanation:
Option E is the intended answer because it contains the recognized DAMA Big Data characteristics without substituting unrelated terms such as Vector, Vocabulary, Voiced, or Vexation. DAMA-DMBOK describes the expanded Big Data characteristics as Volume, Velocity, Variety/Variability, Viscosity, Volatility, and Veracity . The question treats Variety and Variability as separate entries, producing the seven-term formulation shown in option E. Volume concerns scale; Velocity concerns generation and processing speed; Variety and Variability address heterogeneous and changing data; Viscosity describes resistance to flow or integration; Volatility concerns how quickly data loses relevance; and Veracity concerns trustworthiness. It is worth noting that DAMA-DMBOK2 often presents Variety/Variability together, resulting in a six- characteristic formulation. Among the supplied choices, however, E is unequivocally the DAMA-aligned selection.

NEW QUESTION # 728
......

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