CDPSE Exam Dumps - Isaca Certification Questions and Answers

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).

References:

• CDPSE Review Manual, 2021 Edition, ISACA, page 98
• [Data minimization], European Commission

The primary consideration to protect against privacy violations when utilizing artificial intelligence (AI) driven business decisions is ensuring proper data sets are used to train the models. AI is a technology that enables machines or systems to perform tasks that normally require human intelligence, such as reasoning, learning, decision making, etc. AI relies on large amounts of data to train its models and algorithms to perform these tasks. However, if the data sets used to train the models are inaccurate, incomplete, biased, or outdated, they can result in privacy violations, such as discrimination, profiling, manipulation, or harm to the data subjects. Therefore, an IT privacy practitioner should ensure that the data sets used to train the models are proper, meaning that they are relevant, representative, reliable, and respectful of the data subjects’ rights and interests. References: : CDPSE Review Manual (Digital Version), page 141

The best approach for handling personal data that has been restricted is to flag users’ email addresses to make sure they do not receive promotional information, because this will respect the users’ preferences and rights to opt out of marketing communications. This will also help the company comply with the data protection laws and regulations that require consent and transparency for sending marketing emails, such as the General Data Protection Regulation (GDPR) and the CAN-SPAM Act12. The other options are not appropriate or sufficient for handling restricted data, because they may violate the users’ rights, expectations, or agreements, or cause operational issues for the company.

References:

• CDPSE Review Manual, Chapter 3 – Data Lifecycle, Section 3.1 – Data Classification3.
• CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3 – Data Lifecycle, Section 3.2 – Data Classification4.

The role primarily assigned to an internal data owner is authorizing access rights. A data owner is a person or a role within the organization who has the authority and responsibility for the data assets under their control. A data owner is responsible for defining the data classification, data quality, data retention, and data security requirements for their data assets. A data owner is also responsible for granting, revoking, and reviewing the access rights to their data assets based on the principle of least privilege and the business needs. A data owner is accountable for ensuring that the data assets are used in compliance with the organizational policies and the applicable laws and regulations. References:

• [ISACA Glossary of Terms]
• [ISACA CDPSE Review Manual, Chapter 3, Section 3.2.1]
• [ISACA CDPSE Review Manual, Chapter 3, Section 3.2.2]
• [ISACA CDPSE Review Manual, Chapter 3, Section 3.2.3]

The best way for an organization to maintain the effectiveness of its privacy breach incident response plan is to conduct annual data privacy tabletop exercises. A data privacy tabletop exercise is a simulated scenario that tests the organization’s ability to respond to a privacy breach incident, such as a data breach, leak, or misuse. A data privacy tabletop exercise involves key stakeholders, such as the privacy office, the information security team, the legal counsel, the public relations team, etc., who role-play their actions and decisions based on the scenario. A data privacy tabletop exercise helps to evaluate and improve the organization’s privacy breach incident response plan, such as identifying gaps or weaknesses, validating roles and responsibilities, verifying procedures and protocols, assessing communication and coordination, etc. References: : CDPSE Review Manual (Digital Version), page 83

A virtual private network (VPN) is a technology that creates a secure and encrypted connection over a public network, such as the internet. A VPN should be established first before authorizing remote access to a data store containing personal data, as it protects the data from unauthorized interception, modification, or disclosure by third parties. A VPN also helps to ensure the identity and authenticity of the remote users and devices accessing the data store. References: 2 Domain 2, Task 8

Validating the privacy framework is a responsibility of the audit function in helping an organization address privacy compliance requirements, as it would help to verify and validate the effectiveness and adequacy of the privacy framework implemented by the organization to comply with privacy principles, laws and regulations. Validating the privacy framework would also help to identify and report any gaps, weaknesses or issues in the privacy framework, and to provide recommendations for improvement or remediation. The other options are not responsibilities of the audit function in helping an organization address privacy compliance requirements. Approving privacy impact assessments (PIAs) is a responsibility of management or governance function in helping an organization address privacy compliance requirements, as they would have authority and accountability for approving PIAs conducted by project teams or business units before implementing any system, project, program or initiative that involves personal data processing activities. Managing privacy notices provided to customers is a responsibility of operational function in helping an organization address privacy compliance requirements, as they would have direct contact and interaction with customers and would be responsible for providing clear and accurate information about how their personal data is collected, used, disclosed and transferred by the organization. 

The need-to-know basis principle is a security principle that states that access to personal data should be limited to those who have a legitimate purpose for accessing it. The need-to-know basis principle helps to protect data privacy by minimizing the exposure of personal data to unauthorized or unnecessary parties, reducing the risk of data breaches, leaks, or misuse. The need-to-know basis principle should be applied when designing a role-based user access model for a new application, by defining clear roles and responsibilities for different users, granting access rights based on their roles and functions, and enforcing access controls and audits to monitor and verify data access. References: : CDPSE Review Manual (Digital Version), page 105