DSCI DCPLA Exam Dumps

According to the DSCI Assessment Framework for Privacy (DAF-P), risk-based prioritization is essential in planning privacy assessments. Organizations are advised to consider parameters such as the degree of harm from a potential privacy breach, the involvement of processes that handle sensitive personal data (e.g., PHI or biometrics), technology solutions that may affect privacy, and the extent of third-party involvement. These help determine the areas with high privacy risks needing immediate attention.

C (business-related IP) is typically an information security concern, not a privacy concern unless it involves personal data.

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.

A Privacy Impact Assessment (PIA) or Data Protection Impact Assessment (DPIA) is a formal process used to evaluate the risks to privacy in the collection and use of personal data.

As per global frameworks (including GDPR, and referenced in DPF/DAF-P), a PIA helps determine:

What personal data is processed

The necessity and proportionality of processing

Risks to individual rights

Safeguards and mitigation strategies

Thus, the correct answer is A.

According to the DSCI Privacy Framework and aligned with global privacy principles such as those found in the OECD and APEC frameworks, ''Collection Limitation'' emphasizes that personal data should be collected in a manner that is lawful and fair, and should be limited to what is necessary for the identified purposes.

As per DSCI Assessment Framework for Privacy (DAF-P), this principle ensures organizations collect only relevant data by minimizing unnecessary data acquisition, thereby reducing the privacy risks. The principle mandates:

'Personal data collected should be adequate, relevant, and limited to what is necessary in relation to the purposes for which they are processed.'

This is designed to promote responsible data stewardship and ensure minimal exposure of individuals' personal information.

According to the DSCI Assessment Framework for Privacy (DAF-P), the techniques for reducing identifiability differ in their effectiveness:

Pseudonymization replaces identifiable fields within a data record with artificial identifiers. However, if additional information (mapping or lookup tables) exists, re-identification is possible.

De-identification removes or masks identifiers, but residual or quasi-identifiers may still allow re-identification under certain conditions.

Anonymization aims to irreversibly remove any link between the data and the identity of the subject, thus presenting the least risk of re-identification.

Therefore, when arranged in decreasing order of re-identification risk:

Pseudonymization (highest risk)

De-identification

Anonymization (lowest risk)

This validates option A. I, II as correct.