DCPLA Exam Dumps : DSCI Certified Privacy Lead Assessor

As per the official DSCI Privacy Framework (DPF©), the framework is built upon a set of nine core Privacy Principles that are foundational to establishing and assessing privacy initiatives in an organization. These principles are as follows:

Notice– Individuals must be informed about the collection and use of their personal data.

ChoiceandConsent– The data subject’s choice must be respected through consent mechanisms.

Collection Limitation– Personal data must be collected only for identified purposes.

Use Limitation– Data should be used only for the purposes specified at the time of collection.

Data Quality– Ensuring data is accurate, complete, and kept up-to-date.

AccessandCorrection– Data subjects must have access to their data and the ability to correct it.

Security– Adequate protection of personal data against unauthorized access and breaches.

Openness– Organizations must be transparent about their privacy practices.

Accountability– The entity collecting and processing data is responsible for complying with the principles.

These match exactly with the components listed in option A: I (Use Limitation), II (Accountability), III (Data Quality), IV (Notice), V (Preventing Harm—not explicitly named in DPF, hence not part of the standard nine), VI (ChoiceandConsent), VII (Access and Correction), VIII (Data Minimization), IX (Openness).

Hence, the correct nine principles according to DPF© are exactly as listed in option A.

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The “Privacy Organization and Relationship (POR)” practice area is aimed at building the organizational structure for privacy. It includes:

Establishing the privacy function and governance (D)

Identifying responsibilities and stakeholders (B)

Coordinating between legal, IT, and security functions (C)

Option A relates more to the “Visibility over Personal Information (VPI)” practice area, where data inventories and mapping of processes are core objectives. Hence, it is not aligned with POR.

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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.