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Reliable DMF-1220 Test Pattern - Valid Dumps DMF-1220 Files

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DAMA DMF-1220 (Data Management Fundamentals) Certification Exam is a highly respected certification exam in the field of data management. It is designed to test the fundamental knowledge and skills required to effectively manage data within an organization. DMF-1220 Exam covers a range of topics, including data governance, data modeling, data quality, data security, and data integration.

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DAMA Data Management Fundamentals Sample Questions (Q219-Q224):

NEW QUESTION # 219
Assessment criteria are broken into levels, and most capability maturity models use five (5) levels. This is important since:

A. Each capability is separate, so each level represents a separate stage in development
B. Each capability level will have specific criteria associated with its completion. To move to the next higher level, all the capabilities of the current level must be satisfied
C. Assessments are difficult and breaking them into levels makes them more difficult to perform
D. It is not important how many levels there are; vendors do this to show they have a complex model
E. The organization must be able to manage each criterion, and breaking them into levels is the only way to do that

Answer: B

Explanation:
Capability maturity models (e.g., CMMI) use five levels to assess and improve processes, with each level requiring completion of specific criteria. The DAMA-DMBOK states: "Maturity models, such as the Data Management Maturity Model, use five levels, where each level has defined criteria that must be fully satisfied to progress to the next level" (DMBOK2, Chapter 1: Data Management, p. 21). Option B accurately describes this structure.
Reference:DAMA-DMBOK2, Chapter 1: Data Management, Section 2.3, p. 21.

NEW QUESTION # 220
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 221
Critical Data is most often used in

A. Business operational needs
B. Business strategy, especially efforts at competitive differentiation.
C. Measuring product quality and customer satisfaction
D. All of these
E. Regulatory, financial, or management reporting

Answer: D

NEW QUESTION # 222
Data for Big Data ingestion can also be called the data lake. This needs to be carefully managed, or the data lake will become:

A. An organizational statistic
B. A data model
C. A biased report
D. A data swamp
E. A level of data not usable by Data Scientists

Answer: D

Explanation:
Unmanaged data lakes become data swamps, rendering data unusable. The DAMA-DMBOK states: "Without proper management, a data lake can become a data swamp, where data is disorganized, ungoverned, and unusable by data scientists" (DMBOK2, Chapter 4: Data Architecture, p. 161). Option E is correct.
Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161.

NEW QUESTION # 223
Which of the following is a Data Quality principle?

A. Governance
B. All of these
C. Standards Driven
D. Criticality
E. Prevention

Answer: B

Explanation:
Data quality principles encompass multiple aspects, including prevention, governance, and standards-driven approaches, as well as considering criticality in prioritizing efforts. The DAMA-DMBOK states: "Data quality principles include prevention (proactive measures to avoid errors), governance (oversight and accountability), standards-driven processes (consistency through defined rules), and criticality (prioritizing based on business impact)" (DMBOK2, Chapter 7: Data Quality, p. 263). Since all listed options are principles, E is correct.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 2.2, p. 263.

NEW QUESTION # 224
......

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