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The DMF-1220 Certification Exam is intended for individuals who are new to the field of data management or who have a basic understanding of data management concepts. It is also suitable for professionals who are looking to enhance their knowledge and skills in data management. DMF-1220 exam is open to anyone, regardless of their educational background or work experience.

The DMF-1220 certification is recognized as a standard of excellence in the field of data management. It demonstrates an individual's commitment to staying up-to-date with the latest developments in data management and their ability to apply that knowledge in a practical setting. Data Management Fundamentals certification is also a valuable asset for employers, as it provides assurance that their employees have the skills and knowledge necessary to effectively manage data.

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DAMA DMF-1220 exam consists of 100 multiple-choice questions that cover a range of topics related to data management, including data governance, data quality, data modeling, and data architecture. Candidates who Pass DMF-1220 Exam will demonstrate their ability to apply best practices and standards in data management, which can be highly valuable in today's data-driven business environment.

DAMA Data Management Fundamentals Sample Questions (Q388-Q393):

NEW QUESTION # 388
Which of the following is NOT a type of Data Steward?

Answer: B

Explanation:
Data steward types include Enterprise, Operational, Business, and Executive, based on their scope. The DAMA-DMBOK states: "Data stewards are categorized as Enterprise, Operational, Business, or Executive, depending on their role in managing data across the organization" (DMBOK2, Chapter 3: Data Governance, p. 111). Coordinating is not a recognized type.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 3.2, p. 111.


NEW QUESTION # 389
What changes in data processing when a gas utility checks the condition of its assets using a drone rather than a team of people driving alongside the pipeline?

Answer: E

Explanation:
Switching from human inspection to drones changes the data from direct condition reports to raw observation data (e.g., images or sensor readings) that requires analysis to derive asset conditions. The DAMA-DMBOK notes: "The introduction of new data collection methods, such as IoT or drones, often shifts data processing from structured, interpreted data to raw, observational data that requires additional processing to extract meaningful insights" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 517).
Options B, D, and E misalign data types (e.g., reference, master, or metadata are not relevant here), and C is incorrect as video data is typically harder to process than structured data.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.1, p. 517.


NEW QUESTION # 390
Issues caused by data entry processes include:

Answer: A,B,C,D


NEW QUESTION # 391
Why is it so important to conduct a Data Governance Readiness Assessment?

Answer: C

Explanation:
A readiness assessment evaluates an organization's maturity for data governance. The DAMA-DMBOK states: "A Data Governance Readiness Assessment identifies the organization's maturity level and readiness to effectively govern and sustain its data, processes, and policies" (DMBOK2, Chapter 3: Data Governance, p.
121). Option E is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.2, p. 121.


NEW QUESTION # 392
In defining a Data Security Policy, what role should Data Governance play?

Answer: D

Explanation:
Data governance ensures policies align with data strategy but does not write or own security policies. The DAMA-DMBOK states: "Data governance should review and approve data security policies to ensure alignment with governance objectives, while security teams typically write and maintain these policies" (DMBOK2, Chapter 3: Data Governance, p. 119). Option D is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 4.1, p. 119.


NEW QUESTION # 393
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