2026 DMF-1220 Valid Dumps Demo | Latest DAMA Online DMF-1220 Bootcamps: Data Management Fundamentals

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The Data Management Fundamentals (DMF-1220) certification exam is an industry-recognized credential offered by the Data Management Association International (DAMA). DMF-1220 Exam is designed to validate the fundamental knowledge and skills required of professionals in the field of data management. It covers a wide range of topics, including data governance, data quality, data modeling, data architecture, and data security.

DAMA Data Management Fundamentals Sample Questions (Q371-Q376):

NEW QUESTION # 371
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 372
Which of the following is NOT a goal of Data Quality?

A. Understand and comply with all relevant regulations and policies for privacy.protection, and confidentiality
B. Define and implement processes to measure, monitor, and report on data qualitylevels
C. Develop a governed approach to make data fit for purpose based on dataconsumers" requirements
D. Define standards, requirements, and specifications for data quality controls aspart of thedata lifecycle.
E. Identify and advocate for opportunities to improve the quality of data, throughprocess and system improvements

Answer: A

NEW QUESTION # 373
The ISO 11179 Metadata registry, an international standard for representing Metadata in an organization, contains several sections related to data standards, including naming attributes and writing definitions.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 374
To become data-centric, organizations need to think differently. They need to recognize:

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

Answer: D

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 # 375
The Data Architecture workstream on results produces:

A. Assignment of accountability and responsibilities
B. Interaction with the Enterprise Data Architecture group
C. Data Architecture artefacts within an overall roadmap
D. A change in behaviour
E. Selection of the Data Architecture framework

Answer: C

Explanation:
DAMA-DMBOK identifies several Enterprise Data Architecture workstreams, including Strategy, Acceptance and Culture, Organization, Working Methods, and Results. The Results workstream specifically produces Data Architecture artifacts within an overall roadmap. These artifacts can include enterprise data models, enterprise-wide data flows, architectural standards, transition-state designs, and roadmap components that communicate how the organization ' s target data architecture will evolve. The other answers correspond to different workstreams. Selecting frameworks and developing the roadmap are Strategy activities. Assigning accountabilities and responsibilities belongs to Organization. Informing people and motivating changes in behaviour belongs to Acceptance and Culture. Coordination with Enterprise Architecture and carrying out architecture activities in development projects fall under Working Methods. Consequently, production of Data Architecture artifacts within an overall roadmap is specifically the output associated with the Results workstream.

NEW QUESTION # 376
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