Privacy Engineering
Privacy across technology stacks (infrastructure, endpoints, connectivity, secure development, APIs and cloud-native services), privacy-related security controls, and privacy controls such as consent tagging, tracking technologies, anonymization, PETs and AI/ML.
Privacy Engineering, as framed in ISACA's Certified Data Privacy Solutions Engineer (CDPSE) certification, is the discipline of turning privacy principles, laws, and policies into concrete technical and operational controls built into systems, applications, and processes. It does not treat privacy …
CDPSE - Privacy Engineering Example Questions
Test your knowledge of Privacy Engineering
Question 1
An enterprise must deploy a critical operating system security update to thousands of employee laptops used to access customer personal information. Earlier updates broke business applications and disrupted data handling across the workforce. The privacy engineer wants to close the vulnerability quickly while limiting the impact of an unforeseen failure. Which deployment approach is BEST?
Question 2
In remote access VPN connections, what does the term "DNS leak" refer to, and why is it a privacy concern?
Question 3
An enterprise's network and endpoint data loss prevention (DLP) controls inspect files that users upload. A privacy engineer finds that a sanctioned cloud CRM sends customer personal information (PI) to a cloud marketing platform through a server-to-server API integration, and no current DLP control sees these transfers. Which DLP deployment BEST brings this dataflow under monitoring?