Which Process Best Facilitates Data Privacy-Related Goals?

CDPSE By islever Editorial Last updated

Short answer

D Designing a robust data loss prevention (DLP) process

Question

Which of the following BEST facilitates an organization’s ability to achieve data privacy-related goals?
  1. Implementing a data quality governance process
  2. Implementing a detailed system of records process
  3. Developing a clear data forensics process
  4. Designing a robust data loss prevention (DLP) process Correct Answer

Key Takeaways

This question tests whether you understand that privacy requires governance, not just a technical security control—DLP is a point solution, while data quality governance systematically supports multiple privacy principles.

In this CDPSE-style question, the best answer is A: implementing a data quality governance process. Community commenters explain that data quality governance keeps personal data accurate, consistent, and reliable, which supports broad privacy goals; DLP, though a valuable control, is narrower security measure.

Common mistake: The most common wrong answer is D (implementing a robust DLP process), because candidates focus on confidentiality and breach prevention. However, DLP does not address accuracy, purpose limitation, or other privacy principles—those are better served by a governance process.

Expert Analysis

Why the Answer Is Correct

Option A is correct because a data quality governance process establishes policies, roles, and accountability for keeping personal data accurate, consistent, and reliable. These qualities are fundamental to data privacy goals such as data accuracy, data minimization, and overall compliance. One commenter noted that "governance facilitates everything," and another added that data quality governance ensures personal data is accurate and consistent across the organization.

Why the Other Options Are Wrong

Option B (system of records) is too narrow; it deals with documentation and retention rather than enabling broad privacy goals. Option C (data forensics) is reactive and focuses on after-the-fact investigation. Option D (DLP) is a common distractor: it protects against data loss or theft but does not manage data quality, lawful use, or data-subject rights. Data privacy goals are best served by the governance layer, making A the broader and more foundational choice.

Community Comment Notes

Comment [2] directly supports A: "Data quality governance ensures that the personal data an organization collects, processes, and stores is accurate, consistent, and reliable." Comment [3] echoes this, saying that data quality governance ensures personal data is accurate, consistent, and reliable. Comment [1] questions why D was popular by observing that governance facilitates everything. While the vote split 50/50, the commented reasoning strongly favors A.

Official Reference

These links open the official vendor documentation in a new tab.

Exam Strategy

When you see a question about 'data privacy-related goals,' think of the foundational privacy principles such as accuracy, accountability, and transparency. If one option is a governance process and the other is a security tool, the governance process is usually the best answer because it enables multiple controls and aligns with the CDPSE emphasis on privacy governance.

Community Votes

D
50%
A
50%

50% of anonymous learners picked answer D. Votes are pick records left by other test-takers — they are not the verified answer.

Discussion 4 contributions

Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.

From public community threads 4

  1. munashe 👍 3
    I wonder why people are saying D, governance facilitates everything. Answer A.,
  2. 821bbab 👍 2
    Answer is A. Data quality governance ensures that the personal data an organization collects, processes, and stores is accurate, consistent, and reliable.
  3. ARaghunanan 👍 1 Answered D
    A DLP is a definitive control for ensuring data privacy. Data Quality governance has to deal with the accuracy and integrity of the data.
  4. micro_cert 👍 1 Answered A
    a data quality governance process ensures that personal data is accurate, consistent and reliable across the organization

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