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DAMA DMF-1220 (Data Management Fundamentals) Certification Exam is one of the most highly regarded certifications in the field of data management. DMF-1220 exam is administered by the Data Management Association International (DAMA), which is a non-profit, vendor-independent professional organization dedicated to advancing the concepts and practices of information and data management. The DMF-1220 certification exam is designed to test the fundamental knowledge and understanding of data management among professionals in the field.

The Data Management Fundamentals certification exam is designed to be challenging, and candidates are required to demonstrate their knowledge of the fundamental concepts and principles of data management. Data Management Fundamentals certification exam consists of 100 multiple-choice questions, and candidates have 90 minutes to complete the exam. DMF-1220 Exam is administered by DAMA International, which is a non-profit organization that promotes the development of data management professionals and the advancement of the data management profession.

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DAMA DMF-1220 (Data Management Fundamentals) Certification Exam is a globally recognized certification exam that validates a candidate’s understanding of the fundamental principles of data management. Data Management Fundamentals certification exam is designed to assess the candidate’s knowledge of the fundamental concepts, principles, and practices of data management. Data Management Fundamentals certification exam covers a wide range of topics, including data quality, data governance, data modeling, metadata management, data warehousing, and business intelligence.

DAMA Data Management Fundamentals Sample Questions (Q249-Q254):

NEW QUESTION # 249
Class operations can be:

A. General: Hidden
B. Private: Hidden
C. Internally visible: Visible to children objects
D. Public: Externally visible

Answer: B,C,D

NEW QUESTION # 250
Measuring the effects of change management on in five key areas including: Awareness of the need to change; Desire to participate and support the change; Knowledge about how to change; Ability to implement new skills and behaviors; and Reinforcement to keep the change in place.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 251
Following the rollout of a data issue process, there have been no issues recorded in the first month. The reason for this might be:

A. There are no data issues in the enterprise
B. Staff staying back late to enter the issues into the system
C. The denial of overtime requests
D. A lack of credibility in the Data Governance process to really affect changes
E. The automatic deletion of all issues in the database

Answer: D

NEW QUESTION # 252
Data professional should not balance the short-term versus long-term business interests.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 253
Do experts feel a Data Lake needs data management?

A. No, a data lake should contain all the data whether it is inconsistent or not, otherwise data scientists don' t have full insight into the data
B. Yes, metadata creates an inventory of the data as it is ingested into the data lake
C. No, metadata might keep sensitive data out of the data lake, and analysts need all the data
D. Yes, metadata in a data lake prevents synchronization issues by providing both current state and history
E. No, a data lake should ingest streaming data without any restrictions

Answer: B

Explanation:
Data lakes require data management, particularly metadata, to ensure usability. The DAMA-DMBOK states:
"Data lakes need data management, including metadata to create an inventory of ingested data, enabling discovery, governance, and quality control" (DMBOK2, Chapter 4: Data Architecture, p. 161). Option C aligns with this. Options A, D, and E dismiss the need for management, and B is inaccurate about synchronization.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161.

NEW QUESTION # 254
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