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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 Jul. 10, 2026 (see below)
Which of the following protocols BEST protects end-to-end communication of personal data?
Transport Layer Security Protocol (TLS) is a cryptographic protocol that provides end-to-end communication security between two parties over a network, such as the internet. TLS protects the confidentiality, integrity and authenticity of the data exchanged between the parties, such as personal data, by using encryption, hashing and digital signatures. TLS is the best protocol to protect end-to-end communication of personal data, as it prevents unauthorized access, modification or tampering of the data by third parties or intermediaries. The other options are not as effective as TLS in protecting end-to-end communication of personal data. Transmission Control Protocol (TCP) is a network protocol that provides reliable and ordered delivery of data packets between two parties over a network, but it does not provide any security or encryption of the data. Secure File Transfer Protocol (SFTP) is a network protocol that provides secure and encrypted file transfer between two parties over a network, but it does not provide end-to-end communication security for other types of data or messages.Hypertext Transfer Protocol (HTTP) is a network protocol that defines how data is formatted and transmitted over the web, but it does not provide any security or encryption of the data1, p.90-91Reference:1: CDPSE Review Manual (Digital Version)
Which of the following is the BEST way to reduce the risk of compromise when transferring personal information using email?
Encryption is a security practice that transforms data into an unreadable format using a secret key or algorithm. Encryption protects the confidentiality and integrity of data, especially when they are transferred using email or other communication channels. Encryption ensures that only authorized parties can access and use the data, while unauthorized parties cannot decipher or modify the data without the key or algorithm. Encryption also helps to comply with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), which require data controllers and processors to implement appropriate technical and organizational measures to safeguard personal data.
Centrally managed encryption is a type of encryption that is implemented and controlled by a central authority or system, such as an organization or a service provider. Centrally managed encryption has the following advantages over end user-managed encryption, private cloud storage space, or password-protected .zip files, for reducing the risk of compromise when transferring personal information using email:
It can enforce consistent and standardized encryption policies and procedures across the organization or the service, such as the encryption standards, algorithms, keys, modes, and formats.
It can automate the encryption and decryption processes for the users, without requiring them to perform any manual actions or install any software or plug-ins on their devices.
It can monitor and audit the encryption activities and incidents, and provide visibility and accountability for the data protection and compliance status.
It can reduce the human errors or negligence that may compromise the encryption security, such as losing or sharing the keys, forgetting or reusing the passwords, or sending the data to the wrong recipients.
Encryption in the Hands of End Users - ISACA, section 2: ''A key goal of encryption is to protect the file even when direct access is possible or the transfer is intercepted.''
The Complexity Conundrum: Simplifying Data Security - ISACA, section 3: ''Centrally managed encryption solutions can help enterprises overcome these challenges by providing a unified platform for encrypting data across different environments and applications.''
Email Encryption: What You Need to Know - Lifewire, section 1: ''Email encryption is a way of protecting your email messages from being read by anyone other than the intended recipients.''
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
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