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Isaca CDPSE Exam Questions
- Topic 1: Identify issues requiring remediation and opportunities for process improvement/ Participate in the development of procedures that align with privacy policies and business needs
- Topic 2: Implement procedures related to privacy architecture that align with privacy policies/ Implement procedures that align with privacy policies
- Topic 3: Design, implement, and/or monitor processes and procedures to keep the inventory and dataflow records current/ Participate in the privacy incident management process
- Topic 4: Report on the status and outcomes of privacy programs and practices to relevant stakeholders/ Implement procedures related to data lifecycle that align with privacy policies
- Topic 5: Implement procedures related to data lifecycle that align with privacy policies/ Coordinate and/or perform privacy impact assessments (PIA) and other privacy-focused assessments
- Topic 6: Participate in the development of data lifecycle procedures that align with privacy policies and business needs/ Develop and/or implement a prioritization process for privacy practices
- Topic 7: Evaluate advancements in privacy-enhancing technologies and changes in the regulatory landscape/ Identify, validate, and/or implement appropriate privacy and security controls according to data classification procedures
- Topic 8: Participate in the management and evaluation of contracts, service levels, and practices of vendors and other external parties/ Privacy Architecture (Infrastructure, Applications/Software and Technical Privacy Controls)
- Topic 9: Identify the internal and external privacy requirements relating to the organization's data lifecycle practices/ Participate in privacy training and promote awareness of privacy practices
- Topic 10: Identify, validate, and/or implement appropriate privacy and security controls according to data classification procedures/ Participate in the development of privacy control procedures that align with privacy policies and business needs
Free Isaca CDPSE Exam Actual Questions
Note: Premium Questions for CDPSE were last updated On Oct. 25, 2026 (see below)
Which of the following is a foundational goal of data privacy laws?
One of the foundational goals of data privacy laws is to give people rights over the collection of personal data, such as the right to access, correct, delete, or object to the processing of their dat
a. Privacy laws also aim to protect people's dignity, autonomy, and self-determination in relation to their personal data. The other options are not accurate or complete descriptions of the purpose of data privacy laws.
CDPSE Review Manual, Chapter 1 -- Privacy Governance, Section 1.1 -- Privacy Principles1.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 1 -- Privacy Governance, Section 1.2 -- Data Privacy Laws and Regulations2.
Which of the following is the MOST important consideration when processing personal data for an AI project?
Before any processing, CDPSE stresses lawfulness: identify and document the appropriate legal basis and processing purpose(s). Security controls (C), algorithmic techniques (B), and aggregation (D) are important but secondary to establishing a lawful basis and purpose limitation.
Key CDPSE-aligned phrasing (short extract): ''Processing requires a lawful basis and defined purposes prior to collection/use.''
Which of the following can be used to assist with identity verification without access to the actual data?
Zero-knowledge proofs (ZKPs) allow a party to prove possession of a secret or attribute without revealing the secret itself, enabling privacy-preserving verification. Digital signatures (A) and PGP (B) still involve exposure of certain data elements/keys for validation; passwordless methods (D) change authentication factors, not zero-knowledge verification.
''Zero-knowledge proofs enable verification without disclosure of the underlying data.''
Which of the following is the BEST way to ensure privacy is embedded into the training of an AI model?
Synthetic data is generated artificially to mimic patterns without containing real personal data, making it the strongest method to embed privacy by design in AI training. De-identification (A) reduces but does not eliminate reidentification risk; consent (B) addresses lawfulness, not privacy-preserving training; privacy notices (D) provide transparency but not technical risk reduction.
''Synthetic data allows AI model training without exposing real personal information.''
An organization's data destruction guidelines should require hard drives containing personal data to go through which of the following processes prior to being crushed?
Degaussing is a hard drive sanitation method that uses a powerful magnetic field to erase or destroy the data stored on a magnetic disk or tape. Degaussing should be used to sanitize hard drives containing personal data prior to being crushed, as it provides an additional layer of assurance that data has been permanently erased and cannot be recovered by any means. Degaussing also damages the drive itself, making it unusable for future storage. The other options are not effective or necessary hard drive sanitation methods prior to being crushed. Low-level formatting is a hard drive sanitation method that erases the data and the partition table on the drive, but it may leave some traces of data that can be recovered by forensic tools or software. Remote partitioning is a hard drive sanitation method that creates separate logical sections on the drive, but it does not erase or destroy the data on the drive.Hammer strike is a hard drive sanitation method that physically damages the drive by hitting it with a hammer, but it may not erase or destroy the data completely or prevent data recovery by advanced tools or techniques1, p.93-94Reference:1: CDPSE Review Manual (Digital Version)
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