All CDPSE Test Inside Isaca Questions

D. Requiring employees to review the organization’s privacy policy on an annual basis

Short Explanation: Requiring employees to review the organization’s privacy policy on an annual basis is the best activity to enable an organization to identify gaps in its privacy posture because it can help to ensure that the employees are aware of the current privacy requirements, expectations, and practices of the organization. It can also help to identify any discrepancies, inconsistencies, or conflicts between the policy and the actual implementation of privacy controls and processes. By reviewing the policy regularly, the organization can also update and improve it as needed to reflect any changes in the privacy landscape, such as new laws, regulations, standards, or threats.

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 an IT privacy practitioner’s best recommendation to reduce privacy risk before an organization provides personal data to a third party, as it would protect the privacy of the data subjects 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 research purposes by the third party, without compromising the accuracy or quality of the results. The other options are not as effective as anonymization in reducing privacy risk before an organization provides personal data to a third party. Tokenization is a technique that replaces sensitive or confidential data with non-sensitive tokens or placeholders that do not reveal the original data, but it does not prevent or limit the identification of the data subjects, as tokens can be reversed or linked back to the original data using a tokenization system or key. Aggregation is a technique that combines individual data into groups or categories that do not reveal the identity of the data subjects, but it may not prevent or limit the identification of the data subjects, as aggregated data can be de-aggregated or re-identified using other sources of information or techniques. Encryption 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 prevent or limit the identification of the data subjects, as encrypted data can be decrypted or linked back to the original data using an encryption system or key1, p. 74-75 References: 1: CDPSE Review Manual (Digital Version)

The data controller determines the purposes and means of processing and therefore retains primary accountability for risk—even if a processor or custodian executes processing. Data processors (C) act under instructions; custodians (A) safeguard data but do not define processing; data scientists (B) are operational users, not accountable owners.

“The data controller remains accountable for compliance and risk regardless of outsourcing processing activities.”

Mandatory access control (MAC) is a security model where access to data is determined by labels and clearances. In a data warehouse, MAC can be used to mask or hide specific data within a larger database based on a user's security level. This ensures that users only see the data they are authorized to access.