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The Data Management Fundamentals (DMF-1220) Certification Exam is a professional certification exam offered by the Data Management Association International (DAMA International). DMF-1220 exam is designed to test the foundational knowledge of individuals in the field of data management. DMF-1220 exam covers topics such as data modeling, data governance, data quality, data warehousing, and data architecture. Passing the DMF-1220 exam demonstrates that an individual has a strong understanding of the fundamental principles and best practices of data management.

DAMA DMF-1220: Data Management Fundamentals is a professional certification exam that is designed to test a candidate's knowledge and understanding of the basic concepts and principles of data management. DMF-1220 Exam is developed by the Data Management Association International (DAMA), a non-profit organization that focuses on promoting the principles and practices of data management.

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DAMA DMF-1220 exam is an essential certification program for professionals in the field of data management. DMF-1220 exam validates the candidates' understanding of the fundamental principles, concepts, and techniques used in data management. It is an entry-level certification program that is ideal for professionals who are new to the field. DMF-1220 Exam is developed and administered by DAMA, a global organization that provides education, training, and certification programs in the field of data management.

DAMA Data Management Fundamentals Sample Questions (Q137-Q142):

NEW QUESTION # 137
A report displaying birth date contains possible, but incorrect values. What is a possible explanation?

A. Birth date is populated from a single source system, where the date field is an offset value of 1601
B. Birth date is populated from two source systems, one of which stores marriage date in the birth date field
C. Birth date is populated from a single source system, which does not contain birth date
D. Birth date is populated from two source systems, both of which record the birth date in the birth date field
E. Birth date is populated from a single source system, which contains missing values

Answer: B

Explanation:
The correct answer is A. The scenario describes values that are syntactically possible as dates but semantically wrong for the Birth Date attribute. DAMA data quality practice distinguishes validity from accuracy: a value may satisfy the required format or domain yet still fail to represent the real-world fact correctly. If one source system places a marriage date in the birth-date field, the resulting value can look like a perfectly valid date while being factually incorrect. Missing values would primarily indicate a completeness problem, while a system that does not contain birth date would not normally supply a plausible but incorrect birth date without some additional mapping defect. When both sources correctly record birth date, there is no inherent reason for inaccuracy. Therefore, the source-to-target semantic mismatch in option A best explains the report.

NEW QUESTION # 138
On example of a transformation process in ETL is:

A. Duping
B. Servicing
C. Recording
D. Re-ordering

Answer: D

NEW QUESTION # 139
BI tool types include:

A. BPM
B. Reduction of risk
C. Data lake extraction
D. Diagnostic, self-service analytics
E. Descriptive, self-service analytics
F. Operational reporting

Answer: A,E,F

NEW QUESTION # 140
The deliverables of the data modelling process include:

A. Issues and outstanding questions
B. Definitions
C. Diagram
D. Roadmap
E. Lineage
F. Assessments

Answer: A,B,C,E

NEW QUESTION # 141
Which of these is NOT likely in the scope of Data Governance and Stewardship?

A. To adjust the definitions of items in the chart of accounts to improve financial management
B. Ensure the privacy needs of stakeholders are enforced and audited
C. To train staff on data governance principles, embedding them in everyday decision making
D. Data asset valuation in order to allocate priority to data quality management
E. Monitor compliance to record management policies

Answer: A

Explanation:
Data governance focuses on data-related policies, not financial account definitions. The DAMA-DMBOK states: "Data governance and stewardship include valuing data assets, ensuring privacy, training staff, and monitoring compliance with data policies, but financial account definitions fall under financial management" (DMBOK2, Chapter 3: Data Governance, p. 109). Option D is outside the scope.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.2, p. 109.

NEW QUESTION # 142
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