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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 May. 02, 2025 (see below)
Which of the following is MOST important to review before using an application programming interface (API) to help mitigate related privacy risk?
Data flows are the most important to review before using an application programming interface (API) to help mitigate related privacy risk. Data flows are the paths or routes that data take from their sources to their destinations through various processes, transformations, or exchanges. Data flows can help understand how data are collected, used, shared, stored, or deleted by an API and its related applications. Data flows can also help identify the potential privacy risks or impacts that may arise from data processing activities involving an API and its related applications. Data flows can be represented by diagrams, maps, models, or documents that show the sources, destinations, types, formats, volumes, frequencies, purposes, or legal bases of data.
Data taxonomy, data classification, and data collection are also important for privacy risk mitigation when using an API, but they are not the most important. Data taxonomy is a system of organizing and categorizing data into groups, classes, or hierarchies based on their characteristics, attributes, or relationships. Data taxonomy can help understand the structure, meaning, context, or value of dat
a. Data classification is a process of assigning labels or tags to data based on their sensitivity, confidentiality, criticality, or risk level. Data classification can help determine the appropriate level of protection or handling for data. Data collection is a process of gathering or obtaining data from various sources for a specific purpose or objective. Data collection can help obtain the necessary information or evidence for decision making or problem solving.
Which of the following is the MOST important consideration when using advanced data sanitization methods to ensure privacy data will be unrecoverable?
Data sanitization is a process of permanently erasing or destroying data from a storage device or media to prevent unauthorized access or recovery of the data. Data sanitization methods can include physical destruction, degaussing, overwriting, encryption or cryptographic erasure. The most important consideration when using advanced data sanitization methods to ensure privacy data will be unrecoverable is the type of media on which the data is stored, as different media types may require different methods or techniques to achieve effective sanitization. For example, physical destruction may be suitable for optical disks or tapes, but not for solid state drives (SSDs) or flash memory devices. Degaussing may be effective for magnetic disks or tapes, but not for optical disks or SSDs. Overwriting may work for hard disk drives (HDDs) or SSDs, but not for tapes or optical disks. Encryption or cryptographic erasure may be applicable for any media type, but may require additional security measures to protect the encryption keys or certificates. The other options are not as important as the type of media when using advanced data sanitization methods. Subject matter expertise may be helpful, but not essential, as long as the appropriate method is selected and applied correctly. Regulatory compliance requirements may influence the choice of method, but not necessarily determine it, as different methods may meet different standards or criteria. Location of data may affect the feasibility or cost of applying a method, but not its effectiveness or suitability., p. 93-94Reference:: CDPSE Review Manual (Digital Version)
When can data subjects be prohibited from withdrawing consent for processing their personal data?
Which of the following is the PRIMARY reason that a single cryptographic key should be used for only one purpose, such as encryption or authentication?
The primary reason that a single cryptographic key should be used for only one purpose, such as encryption or authentication, is that it minimizes the risk if the cryptographic key is compromised. A cryptographic key is a piece of information that is used to perform cryptographic operations, such as encryption or authentication. Encryption is a process of transforming data into an unreadable form using a secret key or algorithm. Authentication is a process of verifying the identity or integrity of a user or data using a secret key or algorithm. If a single cryptographic key is used for multiple purposes, such as encryption and authentication, it increases the risk if the cryptographic key is compromised. For example, if an attacker obtains the cryptographic key that is used for both encryption and authentication, they can decrypt and access personal data, as well as impersonate or modify legitimate users or data. Therefore, a single cryptographic key should be used for only one purpose, and different keys should be used for different purposes.Reference:: CDPSE Review Manual (Digital Version), page 107
Which of the following is the BEST way for an organization to limit potential data exposure when implementing a new application?
The principle of data minimization states that personal data should be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed. By using only the data required by the application, the organization can reduce the amount of data that is collected, stored, processed and potentially exposed. This can also help the organization comply with privacy laws and regulations that require data minimization, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
CDPSE Review Manual, 2021 Edition, ISACA, page 98
[Data minimization], European Commission
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