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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. 24, 2026 (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 vulnerabilities would have the GREATEST impact on the privacy of information?
The vulnerability that would have the greatest impact on the privacy of information is private key exposure, because it would compromise the encryption and decryption of the information, as well as the authentication and integrity of the communicating parties. A private key is a secret and unique value that is used to encrypt or decrypt data, or to sign or verify digital signatures.If an attacker gains access to the private key, they can read, modify, or impersonate the data or the sender, which would violate the confidentiality, integrity, and authenticity of the information12.
CDPSE Review Manual, Chapter 2 -- Privacy Architecture, Section 2.3 -- Privacy Architecture Implementation3.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 -- Privacy Architecture, Section 2.4 -- Remote Access4.
An organization want to develop an application programming interface (API) to seamlessly exchange personal data with an application hosted by a third-party service provider. What should be the FIRST step when developing an application link?
Data mapping is the process of defining how data elements from different sources are related, transformed, and transferred to a common destination. Data mapping is the first step when developing an application link because it helps to ensure that the data exchanged between the API and the third-party application is consistent, accurate, and compatible. Data mapping also helps to identify any gaps, errors, or conflicts in the data and resolve them before the data transfer occurs.
What is Data Mapping?, Talend
Data Mapping: What It Is and How to Do It, Xplenty
A multi-national organization has decided that regional human resources (HR) team members must be limited in their access to employee data only within their regional office. Which of the following is the BEST approach?
Attribute-based access control (ABAC) is the best approach for limiting the access of regional HR team members to employee data only within their regional office, because it allows for fine-grained and dynamic access control based on attributes of the subject, object, environment, and action. Attributes are characteristics or properties that can be used to describe or identify entities, such as users, resources, locations, roles, or permissions. ABAC uses policies and rules that evaluate the attributes and grant or deny access accordingly. For example, an ABAC policy could state that a user can access an employee record if and only if the user's role is HR and the user's region matches the employee's region. This way, the access control can be tailored to the specific needs and context of the organization, without relying on predefined or fixed access levels.
Attribute-Based Access Control (ABAC), NIST
What is Attribute-Based Access Control (ABAC)?, Axiomatics
Access Control Models -- Westoahu Cybersecurity, Westoahu Cybersecurity
Which of the following is the MOST important consideration when determining retention periods for personal data?
The notice provided to customers during data collection is the most important consideration when determining retention periods for personal data, as it reflects the transparency and accountability principles of privacy and the expectations and preferences of the data subjects. The notice should inform the customers about the purposes and legal bases of the data processing, the rights and choices of the customers, and the safeguards and measures to protect the data, including how long the data will be kept and when it will be deleted or disposed of. The notice should also be consistent with the applicable laws and regulations that may prescribe or limit the retention periods for certain types of personal data. The other options are not as important as the notice provided to customers during data collection when determining retention periods for personal data. Sectoral best practices for the industry may provide some guidance or benchmarks for retention periods, but they may not reflect the specific context or needs of the organization or the customers. Data classification standards may help to categorize data according to its sensitivity and value, but they may not indicate how long the data should be retained or deleted.Storage capacity available for retained data may affect the feasibility or cost of retaining data, but it should not determine or override the retention periods based on privacy principles, laws or customer expectations1, p.99-100Reference:1: CDPSE Review Manual (Digital Version)
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