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The DMF-1220 Exam is suitable for individuals who are new to the field of data management or those who want to enhance their knowledge and skills in this area. DMF-1220 exam is also ideal for professionals who want to pursue a career in data management or advance their career in this field. DMF-1220 exam covers a range of topics, including the principles of data management, data modeling techniques, data quality management, metadata management, and data governance practices.

DAMA DMF-1220: Data Management Fundamentals Exam is one of the most recognized and respected data management certifications available today. It is designed for individuals who are new to the data management field and want to establish a solid foundation in the fundamentals of data management.

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ExamcollectionPass provides proprietary preparation guides for the certification exam offered by the DMF-1220 exam dumps. In addition to containing numerous questions similar to the DMF-1220 Exam, the Data Management Fundamentals (DMF-1220) exam questions are a great way to prepare for the DAMA DMF-1220 exam dumps.

The Data Management Fundamentals (DMF-1220) Certification Exam is a highly sought-after certification exam for professionals who want to demonstrate their knowledge and skills in data management. Data Management Fundamentals certification is offered by the Data Management Association (DAMA), which is a global professional organization that focuses on promoting data management practices and standards. The DMF-1220 Exam is designed to test the candidates' understanding of the fundamental concepts and principles of data management, including data modeling, data quality, data governance, and data integration.

DAMA Data Management Fundamentals Sample Questions (Q591-Q596):

NEW QUESTION # 591
The Data Governance Council (DGC) manages data governance initiatives, issues, and escalations.

Answer: B


NEW QUESTION # 592
A database uses foreign keys from code tables for column values. This is a way of implementing:

Answer: C

Explanation:
Foreign keys from code tables are used to enforce referential integrity and standardize values, which is a hallmark of reference data. The DAMA-DMBOK defines reference data as "data used to categorize or classify other data, typically maintained in code tables or lookup tables, and often used to ensure consistency across systems" (DMBOK2, Chapter 12: Reference and Master Data, p. 489). Code tables store standardized values (e.g., country codes, status codes) that are referenced by foreign keys in other tables to maintain consistency and data quality.
In contrast, master data (A) refers to core business entities like customers or products, event data (B) captures specific occurrences, star schema data (D) is a data warehousing structure, and temporal data (E) involves time-based versioning. The use of foreign keys from code tables specifically aligns with reference data management.
Reference:DAMA-DMBOK2, Chapter 12: Reference and Master Data, Section 2.1, p. 489.


NEW QUESTION # 593
The process of identifying how different records may relate to a single entity is called:

Answer: C

Explanation:
Identifying how records relate to a single entity, such as a customer, is called data matching, often used in data integration. The DAMA-DMBOK states: "Data matching is the process of identifying and linking records that refer to the same entity across different sources, critical for master data management and integration" (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 515).
Options A, B, C, and E are incorrect: they are either not standard terms or unrelated to this process.
Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 3.3, p. 515.


NEW QUESTION # 594
Which of the following is a Data Quality principle?

Answer: D

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 # 595
Reference and Master Data Management follow these guiding principles:

Answer: B,D,E,F


NEW QUESTION # 596
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