100% Pass Quiz 2026 DAMA DMF-1220: Data Management Fundamentals Updated Exam Bootcamp

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DAMA DMF-1220 Exam Overview:

Certification Vendor:	DAMA International
Exam Name:	CDMP Foundation (Data Management Fundamentals)
Exam Number:	DMF-1220
Exam Duration:	100 minutes
Passing Score:	60%
Related Certifications:	CDMP Master CDMP Distinguished CDMP Associate
Available Languages:	English
Certificate Validity Period:	3 years (recertification required)
Exam Price:	$250 USD
Real Exam Qty:	100
Exam Format:	Multiple Choice
Sample Questions:	DAMA DMF-1220 Sample Questions
Exam Way:	Online proctored exam
Pre Condition:	No formal prerequisites; recommended to have basic understanding of data management concepts
Official Syllabus URL:	https://www.dama.org/certifications/cdmp-certification

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DAMA DMF-1220 (Data Management Fundamentals) Exam is a certification exam designed to assess the knowledge and understanding of data management principles and practices. DMF-1220 exam is administered by the Data Management Association International (DAMA), which is a global organization that promotes the development and advancement of data management professionals. The DMF-1220 Exam covers a wide range of topics related to data management, including data quality, data governance, data modeling, data architecture, data security, and data integration.

DAMA Data Management Fundamentals Sample Questions (Q713-Q718):

NEW QUESTION # 713
There are three recovery types that provide guidelines for how quickly recovery takes place and what it focuses on.

A. BMT recovery
B. Critical recovery
C. Non-critical recovery
D. Immediate recovery
E. Translucent recovery
F. Intermittent recovery

Answer: B,C,D

NEW QUESTION # 714
What does Data Handling Ethics concern itself with?

A. Data Ethics is concerned with the right way of dealing with data throughout its lifecycle, ensuring that it's in line with the organization's policies and standards
B. Data Ethics is concerned about respect of persons, beneficence, and justice
C. Data Ethics is concerned with applying ethical principles to data management. Data Management needs to be aligned to the ethical statements of the organization
D. Data Handling Ethics is concerned with protecting individuals and society from inappropriate processing of data
E. Data Handling Ethics is concerned with how to procure, store, manage, use, and dispose of data that are aligned with ethical principles

Answer: E

Explanation:
Data Handling Ethics focuses on ethical principles across the data lifecycle. The DAMA-DMBOK states:
"Data Handling Ethics is concerned with how to procure, store, manage, use, and dispose of data in ways that are aligned with ethical principles, such as fairness, accountability, and transparency" (DMBOK2, Chapter
14: Data Handling Ethics, p. 557). Option B directly aligns with this definition. Options A, C, D, and E either focus too narrowly (C, D) or conflate broader data ethics with data management (A, E).
Reference:DAMA-DMBOK2, Chapter 14: Data Handling Ethics, Section 2.1, p. 557.

NEW QUESTION # 715
Lack of automated monitoring represents serious risks, including:

A. Direction and recovery risk
B. Administrative and audit duties risk
C. Risk of reliance on inadequate native
D. Risk of compliance

Answer: A,B,C

NEW QUESTION # 716
Please select the transition phases in Bridges' Transition process:

A. The ending
B. The new beginning
C. The neutral zone
D. The translation
E. The transition
F. The game

Answer: B,C,E

NEW QUESTION # 717
Critical to the incremental development of the data warehouse is:

A. A strong release management process
B. A strong incident management process
C. The assurance to include velocity, variety, and veracity measurement
D. An agile development team
E. A strong capacity management process

Answer: A

Explanation:
The correct answer is E. DAMA treats release management as critical to incremental Data Warehouse development because a warehouse evolves through repeated additions, enhancements, maintenance changes, and business-driven requirements. A strong release-management process coordinates those changes, keeps production deployments controlled, and aligns technical iterations with business priorities. It also helps manage the backlog, schedule deployments, preserve warehouse stability, and ensure that new functionality is introduced without degrading existing services. Agile development can support incremental delivery, but simply having an agile team does not provide the governance and operational control required for warehouse releases. Capacity management and incident management are important operational disciplines, while the Big Data characteristics of velocity, variety, and veracity are not the primary mechanism for controlling incremental warehouse evolution. Therefore, strong release management is the required capability.

NEW QUESTION # 718
......

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