DSCI DCPLA Exam Dumps

Privacy Enhancing Tools (PETs), as referenced in the DSCI Privacy Framework and aligned global frameworks, enable users to:

Exercise control over how their personal data is collected, shared, and processed

Use services with the option of anonymity or pseudonymity

Receive sufficient information for informed consent

Opt-out of non-essential data uses such as profiling and behavioral targeting

All the listed actions (I to IV) are valid functions provided by PETs, which support transparency, user control, and minimization of unnecessary data exposure.

The ''Privacy Organization and Relationship (POR)'' practice area of the DSCI Privacy Framework focuses on:

Establishing a dedicated privacy function

Allocating adequate resources (human and technical)

Defining roles and responsibilities for privacy across organizational layers

It includes the evaluation of whether the organization has the capability (skills and capacity) to manage its privacy obligations effectively --- precisely the scope described in this assessment scenario.

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.

According to the DSCI Privacy Framework and international standards like GDPR and APEC:

''Processing'' refers to any operation or set of operations performed on personal data, whether or not by automated means. This includes:

Collection, recording, organization, structuring

Storage, adaptation or alteration

Retrieval, consultation, use

Disclosure by transmission, dissemination

Alignment, combination, restriction, erasure or destruction

Hence, ''processing'' is indeed a blanket term encompassing a broad spectrum of actions involving personal data.