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.

Data Handling Ethics focuses on ethical principles across the data lifecycle. The DAMA-DMBOK states:
"Data Handling Ethics is concerned with how to procure, store, manage, use, and dispose of data in ways that are aligned with ethical principles, such as fairness, accountability, and transparency" (DMBOK2, Chapter
14: Data Handling Ethics, p. 557). Option B directly aligns with this definition. Options A, C, D, and E either focus too narrowly (C, D) or conflate broader data ethics with data management (A, E).
Reference:DAMA-DMBOK2, Chapter 14: Data Handling Ethics, Section 2.1, p. 557.