Isaca Certified Data Privacy Solutions Engineer CDPSE Exam Questions

Answer : B

The first thing that an IT privacy practitioner should do before an organization migrates personal data from an on-premise solution to a cloud-hosted solution is to perform a privacy impact assessment (PIA). A PIA is a systematic process of identifying and evaluating the potential privacy risks and impacts of a data processing activity or system. A PIA helps to ensure that privacy is considered and integrated into the design and development of data processing activities or systems, and that privacy risks are mitigated or eliminated. A PIA also helps to determine the appropriate measures to protect personal data in a cloud-hosted solution, such as encryption, pseudonymization, anonymization, access control, audit trail, breach notification, etc. A PIA also helps to comply with the applicable privacy regulations and standards that govern data processing activities in a cloud-hosted solution.Reference:: CDPSE Review Manual (Digital Version), page 99

Answer : B

A privacy impact assessment (PIA) is a process of analyzing the potential privacy risks and impacts of collecting, using, and disclosing personal dat

a. A PIA should be conducted when there is a change in the data processing activities that may affect the privacy of individuals or the compliance with data protection laws and regulations. One of the scenarios that should trigger the completion of a PIA is when there are new inter-organizational data flows, which means that personal data is shared or transferred between different entities or jurisdictions. This may introduce new privacy risks, such as unauthorized access, misuse, or breach of data, as well as new legal obligations, such as obtaining consent, ensuring adequate safeguards, or notifying authorities.

PIA Triggers - International Association of Privacy Professionals

Privacy Impact Assessment - International Association of Privacy Professionals

GDPR Privacy Impact Assessment

Data Protection Impact Assessment triggers: Clarity or confusion?

Answer : D

The value proposition of a PIA is not understood by management is the greatest obstacle to conducting a PIA, as it may result in lack of support, funding, resources or commitment for the PIA process and outcomes. Management may not appreciate or recognize the benefits of a PIA, such as enhancing privacy protection, reducing privacy risks and costs, increasing customer trust and satisfaction, and complying with privacy laws and regulations. Management may also perceive a PIA as a burden, a delay or a hindrance to the system or project development and delivery. The other options are not as significant as the value proposition of a PIA is not understood by management as obstacles to conducting a PIA. Conducting a PIA requires significant funding and resources is an obstacle to conducting a PIA, but it may be overcome by demonstrating the return on investment or the cost-benefit analysis of a PIA. PIAs need to be performed many times in a year is an obstacle to conducting a PIA, but it may be mitigated by adopting a scalable or modular approach to PIAs that can be tailored to different types or levels of systems or projects.The organization lacks knowledge of PIA methodology is an obstacle to conducting a PIA, but it may be resolved by acquiring or developing the necessary skills, tools or guidance for performing PIAs1, p.67-68Reference:1: CDPSE Review Manual (Digital Version)

Answer : C

In GDPR parlance, organizations that use third-party service providers are often, but not always, considered data controllers, which are entities that determine the purposes and means of the processing of personal data, which can include directing third parties to process personal data on their behalf. The third parties that process data for data controllers are known as data processors.

The best way to protect personal data in the custody of a third party is to include requirements to comply with the organization's privacy policies in the contract. This means that the organization should specify the terms and conditions of data processing, such as the purpose, scope, duration, and security measures, and ensure that they are consistent with the organization's privacy policies and applicable privacy regulations. The contract should also define the roles and responsibilities of both parties, such as data controller and data processor, and establish mechanisms for monitoring, reporting, auditing, and resolving any issues or incidents related to data privacy.Reference:: CDPSE Review Manual (Digital Version), page 41

Answer : A

The primary consideration of a multinational organization deploying a user and entity behavior analytics (UEBA) tool to centralize the monitoring of anomalous employee behavior is cross-border data transfer, because it may involve the transfer of personal data across different jurisdictions with different privacy laws and regulations. The organization needs to ensure that it complies with the applicable legal requirements and safeguards the privacy rights of its employees when transferring their data to a central location for analysis. The other options are secondary or operational considerations that may not have a significant impact on the privacy of the employees.

CDPSE Exam Content Outline, Domain 2 -- Privacy Architecture (Privacy Architecture Implementation), Task 3: Implement privacy solutions1.

CDPSE Review Manual, Chapter 2 -- Privacy Architecture, Section 2.4 -- Cross-Border Data Transfer2.

CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 -- Privacy Architecture, Section 2.5 -- Cross-Border Data Transfer3.

Answer : A

Anonymization is a technique that removes or modifies all identifiers in a data set to prevent or limit the identification of the data subjects. Anonymization is the IT privacy practitioner's best recommendation for an organization that uses analytics derived from archived transaction data to create individual customer profiles for customizing product and service offerings, as it would protect the privacy of the customers by reducing the linkability of the data set with their original identity, and also comply with the data minimization principle that requires limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes. Anonymization would also preserve some characteristics or patterns of the original data that can be used for analysis or customization purposes, without compromising the accuracy or quality of the results. The other options are not as effective as anonymization in this situation. Discontinuing the creation of profiles is not a feasible or desirable option, as it would prevent the organization from achieving its business objectives and providing value to its customers. Implementing strong access controls is a security measure that restricts who can access, view or modify the data, but it does not address the issue of collecting or retaining more personal data than necessary or relevant.Encrypting data at rest is a security measure that transforms plain text data into cipher text using an algorithm and a key, making it unreadable by unauthorized parties, but it does not address the issue of collecting or retaining more personal data than necessary or relevant, and may require additional security measures to protect the encryption keys or certificates1, p.75-76Reference:1: CDPSE Review Manual (Digital Version)

Answer : B

A data dictionary is a document that defines and describes the data elements, attributes, formats, sources, destinations, purposes and relationships of a data set or system. A data dictionary would be the best way to ensure personal data usage is standardized across the entire organization, as it would provide a common and consistent understanding and reference for how personal data is collected, used, disclosed and transferred within and outside the organization. A data dictionary would also help to ensure compliance with privacy principles, such as accuracy, transparency and accountability. The other options are not as effective as developing a data dictionary in ensuring personal data usage is standardized across the entire organization. De-identify all data is a technique that removes or modifies direct and indirect identifiers in a data set to prevent or limit the identification of the data subjects, but it does not ensure standardization or consistency of personal data usage across the organization. Encrypt all sensitive data is a technique that transforms plain text data into cipher text using an algorithm and a key, making it unreadable by unauthorized parties, but it does not ensure standardization or consistency of personal data usage across the organization.Perform data discovery is a process of identifying and locating personal data within an organization's systems, databases, applications or files, but it does not ensure standardization or consistency of personal data usage across the organization1, p.69-70References:1: CDPSE Review Manual (Digital Version)