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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) Exam is a certification exam designed for individuals who want to demonstrate their knowledge and expertise in the field of data management. DMF-1220 Exam covers topics such as data governance, data modeling, data quality, and data security. It is a comprehensive exam that tests the candidate's understanding of the fundamental concepts and principles of data management.

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DAMA DMF-1220 Certification Exam is administered by the Data Management Association International (DAMA International), which is a non-profit organization that is dedicated to promoting and advancing the field of data management. DMF-1220 exam is available in multiple languages and can be taken online or in-person at an authorized testing center. Upon passing the exam, candidates are awarded the DAMA DMF-1220 Certification, which is a valuable credential that can help them advance their careers in the field of data management.

DAMA Data Management Fundamentals Sample Questions (Q348-Q353):

NEW QUESTION # 348
One of the difficulties when integrating multiple source systems is:

A. Having a data quality rule applicable to all source systems
B. Maintaining documentation describing the data warehouse operation
C. Modifying the source systems to align to the enterprise data model
D. Determining valid links or equivalences between data elements
E. Completing the data architecture on time for the first release

Answer: D

Explanation:
Integrating multiple source systems is challenging due to the need to identify valid links or equivalences between data elements across systems (e.g., matching customer IDs). The DAMA-DMBOK states: "A key challenge in data integration is determining equivalences between data elements from disparate sources, requiring mapping and transformation to ensure consistency" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 513).
Options A, C, D, and E are challenges but less central: documentation (A) is operational, modifying systems (C) is often impractical, universal rules (D) are difficult but secondary, and architecture timing (E) is project- related.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 3.2, p. 513.

NEW QUESTION # 349
A change management program supporting Data Governance should focus communication on what?

A. Implement a data management training program and create a data dictionary
B. Show the value of data stewardship & implement data management training program
C. Promote the value of its data assets
D. How many errors are in each of the various department's data
E. Promoting the value of its data assets, monitor and act on feedback about Data Governance activities & implement data management training programs.

Answer: E

NEW QUESTION # 350
Data architect: A senior analyst responsible for data architecture and data integration.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 351
Tools required to manage and communicate changes in data governance programs include

A. Business/Data Governance strategy map
B. Data governance metrics
C. Monitoring the resistance
D. Ongoing business case for data governance
E. Obtaining buy-in from all stakeholders
F. Data governance roadmap

Answer: A,B,D,F

NEW QUESTION # 352
Type of Reference Data Changes include:

A. Row level changes to internal Reference Data sets
B. Structural changes to external Reference Data sets
C. Creation of new Reference Data sets
D. Business model changes on column level
E. Row level changes to external Reference Data sets
F. None of the above

Answer: A,B,C,E

NEW QUESTION # 353
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