DCPLA Exam Dumps : DSCI Certified Privacy Lead Assessor

The classification of data as "sensitive personal data" is context-sensitive and often varies across different jurisdictions based on legal, cultural, and contextual factors. For instance, while health information is universally recognized as sensitive, categories such as caste, political beliefs, or biometric data may have differing interpretations depending on the local laws and societal norms.

Therefore, statement B is correct as it acknowledges the variability of data sensitivity by geography and culture.

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This scenario represents a major non-conformity under DAF‑P©. Lack of detailed visibility into personal information across business functions and processes suggests a foundational weakness in the privacy program. This absence of specific knowledge impairs risk assessment, control implementation, and compliance alignment — key elements for a robust privacy framework.

Pseudonymized data is defined as:

“Personal data that has been processed so that it can no longer be attributed to a specific data subject without the use of additional information.”

This definition matches exactly with the statement in the question. It is different from anonymization, where the data cannot be re-associated with an individual at all.

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