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The Data Management Fundamentals (DMF-1220) Exam is a certification test designed by the Data Management Association International (DAMA) to evaluate the fundamental knowledge and skills required for data management professionals. DMF-1220 exam is an excellent opportunity for those who want to strengthen their understanding of data management concepts and practices and to demonstrate their expertise in the field. The DMF-1220 Exam covers a range of topics, including data modeling, data quality, data governance, data integration, and data security. It is intended for individuals who are new to the data management field or who want to validate their foundational knowledge.

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The DMF-1220 exam consists of 100 multiple-choice questions and is administered online. DMF-1220 exam is designed to test an individual's knowledge and understanding of data management concepts, as well as their ability to apply these concepts to real-world scenarios. DMF-1220 exam is timed, and candidates have 90 minutes to complete it. A passing score of 70% or higher is required to earn the certification.

DAMA DMF-1220 Exam covers a wide range of topics related to data management, including data governance, data modeling, data quality, data security, and data warehousing. DMF-1220 Exam is divided into six sections, each of which focuses on a different aspect of data management. The sections are as follows: Data Management Overview, Data Governance, Data Modeling and Design, Metadata Management, Data Quality, and Data Security and Privacy. DMF-1220 exam consists of 100 multiple-choice questions and is administered online.

DAMA Data Management Fundamentals Sample Questions (Q455-Q460):

NEW QUESTION # 455
In the context of big data the Three V's refer to: Volume, Velocity and Validity

Answer: A


NEW QUESTION # 456
A project scope requires the collection, exchange, and reporting of data from multiple in-house custom systems. Documents gathered include business concepts, existing database schemas, XSDs, and reporting layouts. How many models of each layer of abstraction can be expected?

Answer: A

Explanation:
In data modeling, there are three levels of abstraction: conceptual, logical, and physical. For a project involving multiple systems, the DAMA-DMBOK explains: "Conceptual models are high-level and few in number, focusing on business entities and relationships. Logical models provide more detail, mapping to multiple systems or schemas, and physical models are the most numerous, tailored to specific database implementations" (DMBOK2, Chapter 5: Data Modeling and Design, p. 177). Since each system may have its own physical schema (physical model) and multiple systems may share logical models, while a single or few conceptual models cover the enterprise, the number of models typically follows: physical > logical > conceptual.
Options A and B don't address modeling layers; D assumes only one model per layer, which is unrealistic for multiple systems; and E reverses the hierarchy. Thus, C is correct.
Reference:DAMA-DMBOK2, Chapter 5: Data Modeling and Design, Section 3.2, p. 177.


NEW QUESTION # 457
Within the Data Handling Ethics Context Diagram a key deliverable is the Ethical Data Handling Strategy.

Answer: A


NEW QUESTION # 458
To become data-centric, organizations need to think differently. They need to recognize:

Answer: A

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 # 459
Inputs in the Data Integration and Interoperability context diagram include:

Answer: A,B,C,D


NEW QUESTION # 460
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