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Q: 11
Development of goals, principles and policies derived from the data governance strategy will not guide the organization into the desired future state.
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Q: 12
Data parsing is the process of analysing data using pre-determined rules to define its content or value.
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Q: 13
Data professional should not balance the short-term versus long-term business interests.
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Q: 14
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
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Q: 15
The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.
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Q: 16
Effective document management requires clear policies and procedures, especially regarding retention and disposal of records.
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Q: 17
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.
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Q: 18
DAMA International’s Certified Data Management Professional (CDMP) certification required that data management professionals subscribe to a formal code of ethics, including an obligation to handle data ethically for the sake of society beyond the organization that employs them.
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Q: 19
Examples of concepts that can be standardized within the data quality knowledge area include:
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Q: 20
The acronym BASE is made up of:
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Question 11 of 20 · Page 2 / 2

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