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The Data Management Fundamentals (DMF-1220) Certification Exam is a professional certification offered by the Data Management Association (DAMA). Data Management Fundamentals certification is designed for individuals who work in the field of data management, including data analysts, data scientists, data architects, and database administrators. Data Management Fundamentals certification exam covers the fundamental principles of data management, including data modeling, data quality, data governance, and data integration.

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To prepare for the DAMA DMF-1220 Exam, candidates can take advantage of various study resources such as study guides, practice exams, and training courses. DAMA also offers training courses that cover the topics tested in the exam. The training courses are available online and in-person. Candidates can also join study groups, attend webinars, and participate in online forums to enhance their knowledge and understanding of data management.

DAMA Data Management Fundamentals Sample Questions (Q556-Q561):

NEW QUESTION # 556
Which of the following is NOT a stage of the Data Quality Management Cycle?

A. Act
B. Do
C. Check
D. Intervene
E. Plan

Answer: D

Explanation:
The Data Quality Management Cycle follows the Plan-Do-Check-Act (PDCA) model. The DAMA-DMBOK states: "The data quality management cycle includes Plan (define quality goals), Do (implement processes), Check (monitor quality), and Act (improve processes)" (DMBOK2, Chapter 7: Data Quality, p. 269).
Intervene is not a stage in this cycle.
Options A, B, C, and D are part of PDCA, making E the correct answer.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 3.2, p. 269.

NEW QUESTION # 557
What key components must be included in the Implementation Roadmap?

A. Testing requirements, risk assessment, data security and privacy policies and database design
B. Timeframes and resources for Policies and Directives, a Business Glossary Architecture, Business and IT processes and role descriptions
C. Data metrics, physical data structures, and data model designs
D. Timeframes and resources for policies and directives Architecture, Tools and Control Metrics
E. Timeframes and resources for data quality requirements, policies and directives and testing standards

Answer: B

NEW QUESTION # 558
What is the best way to ensure you have high quality data?

A. Implement Data Governance and Stewardship
B. Instruct users of data in downstream systems flag data errors and put them in a error log
C. Inspect all data that is in production and get the business areas to certify that the data is correct
D. Create drop-down menus for data entry to prevent all invalid data
E. Do corrective action after a problem has occurred because data only needs to be 'fit for use'

Answer: A

NEW QUESTION # 559
When developing a Data Governance operating framework, what areas should be considered?

A. Data inputs, context diagrams, methods and procedures
B. Impacts of regulations, the value of data to the organization, data modelling skills, & third-party data policies
C. Data management skills, budget considerations & organization strategy
D. A model that documents the business, cultural factors, the impacts of regulations, and the value of data to the organization
E. Cultural factors, the role of a data steward, & third-party data policies

Answer: D

NEW QUESTION # 560
If data is not integrated with care it presents risk for unethical data handling. These ethical risks intersect with fundamental problems in data management including: Limited knowledge of data's origin and lineage; Data of poor quality; Unreliable Metadata; and Documentation of error remediation.

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 561
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