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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Under the DSCI Privacy Framework and consistent with global definitions (including GDPR and APEC), a “Data Controller” is the entity that determines the purposes and means of processing personal data. For its own employees, an organization inherently controls how their personal data is collected, used, and stored — making it the data controller by default. This is not necessarily the case for clients or supervisory authorities, whose data processing may be governed by different contractual or legal terms.

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The OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data (1980) defined eight core privacy principles:

Collection Limitation

Data Quality

Purpose Specification

Use Limitation

Security Safeguards

Openness

Individual Participation

Accountability

“Data Minimization” was not part of the original 1980 OECD principles. While it is a common privacy principle today and included in modern frameworks like GDPR and DSCI's DPF, it was not part of the original OECD set.

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