Data sources, data visualizations, data latency, and ownership
B.
Data formats, data values, patterns, and relationships
C.
Data criteria, data acquisition, data policy, and procedures inside data governance
D.
Data clusters, data clouds, data repositories, and metadata libraries
E.
Data lakes, data warehouses, and operational data stores
The Answer Is:
B
This question includes an explanation.
Explanation:
Data profiling involves analyzing data to understand its structure, content, and relationships. The DAMA-DMBOK defines data profiling as: “The process of examining data to collect statistics and information about data formats, values, patterns, and relationships to assess quality and suitability” (DMBOK2, Chapter 7: Data Quality, p. 267).
Options A, C, D, and E include elements outside the scope of basic profiling, such as governance policies (C) or infrastructure (E), whereas B directly aligns with profiling activities.
[Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 3.1, p. 267., ]
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