Quiz DAMA - Trustable DMF-1220 - Data Management Fundamentals Valid Test Pdf

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DAMA DMF-1220 Exam Overview:

Certification Vendor:DAMA International
Exam Name:CDMP Foundation (Data Management Fundamentals)
Exam Number:DMF-1220
Certificate Validity Period:3 years (recertification required)
Exam Format:Multiple Choice
Exam Duration:100 minutes
Available Languages:English
Real Exam Qty:100
Related Certifications:CDMP Distinguished
CDMP Master
CDMP Associate
Passing Score:60%
Exam Price:$250 USD
Sample Questions:DAMA DMF-1220 Sample Questions
Exam Way:Online proctored exam
Pre Condition:No formal prerequisites; recommended to have basic understanding of data management concepts
Official Syllabus URL:https://www.dama.org/certifications/cdmp-certification

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The DMF-1220 Certification Exam is a highly respected certification that demonstrates a candidate's knowledge and skills in data management fundamentals. Data Management Fundamentals certification is recognized globally and is intended for data management professionals who are seeking to enhance their careers. By passing the DMF-1220 Certification Exam, candidates can prove their expertise in data management and increase their job opportunities and earning potential.

The DMF-1220 Exam covers the fundamental principles and best practices of data management, including data governance, data quality, data modeling, metadata management, and data architecture. It is intended for professionals who are new to the field of data management or who have limited experience in data management.

DAMA Data Management Fundamentals Sample Questions (Q275-Q280):

NEW QUESTION # 275
The search function associated with a document management store is failing to return known artefacts. This is due to a failure of:

Answer: E

Explanation:
A document management system relies on metadata to enable effective search and retrieval of documents. If the search function fails to return known artefacts, it indicates a failure in maintaining appropriate metadata, such as tags, descriptions, or indexing attributes. The DAMA-DMBOK states: "Metadata is critical for enabling findability, accessibility, and usability of data assets. In document management systems, metadata such as document titles, keywords, or categories must be consistently maintained to support search functionality" (DMBOK2, Chapter 11: Metadata Management, p. 441).
Other options are less relevant: data quality metrics (A) focus on data accuracy, not search functionality; business intelligence (B) relates to analytics, not document retrieval; public access (C) is unrelated to search failures; and privacy procedures (E) address security, not search performance.
Reference:DAMA-DMBOK2, Chapter 11: Metadata Management, Section 3.1, p. 441.


NEW QUESTION # 276
Orchestration is the term used to describe how multiple processes are organized and executed in a system.

Answer: A


NEW QUESTION # 277
A roadmap for enterprise data architecture describes the architecture's 3 to 5-year development path. The roadmap should be guided by a data management maturity assessment.

Answer: A


NEW QUESTION # 278
How does the DMBOK refer to an organization that values data as an asset and manages data through all phases of its lifecycle?

Answer: D

Explanation:
The DAMA-DMBOK refers to organizations that treat data as a strategic asset and manage it across its lifecycle as "data-centric." It states: "A data-centric organization values data as an asset, integrates data management into its culture, and manages data through all phases of its lifecycle, from creation to retirement" (DMBOK2, Chapter 3: Data Governance, p. 103).
Options A, B, C, and E are incorrect: C refers to decision-making approaches, while others are not DMBOK terms.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.1, p. 103.


NEW QUESTION # 279
What are the three qualities of an effective Data Governance function?

Answer: B

Explanation:
An effective data governance function must be embedded in organizational processes, systematic in its approach, and sustainable over time. The DAMA-DMBOK states: "Effective data governance is embedded within business processes, systematic in its application of policies and standards, and sustainable to support long-term organizational goals" (DMBOK2, Chapter 3: Data Governance, p. 107).
Other options include qualities like "measured" or "objective," but DMBOK emphasizes embedded, systematic, and sustainable as the core triad.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.3, p. 107.


NEW QUESTION # 280
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