DCPLA Exam Dumps : DSCI Certified Privacy Lead Assessor

The complexity of implementing data security for personal information is often influenced by operational and architectural factors such as:

A: Collecting data through various channels like web forms, mobile apps, customer support, etc., which introduces complexity in tracking and securing each channel.

B: Flexible and dynamic business processes that evolve rapidly can complicate access management due to frequent changes in user roles, workflows, and data access needs.

While regulatory requirements (C) do impact privacy governance, they do not directly contribute to the complexity of implementing technical security measures.

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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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The DPF© outlines that the applicability and implementation of privacy principles depend on several contextual factors including:

The organization's role as data controller or processor (A)

Channels and methods of data inflow (B)

Jurisdictional regulations applicable to the organization's operations (C)

Public commitments, contracts, and stakeholder expectations (D)