Isaca Updated CDPSE Exam Questions and Answers by heather

An analysis of known threats is the best way for an organization to gain visibility into its exposure to privacy-related vulnerabilities because it helps identify the sources, methods and impacts of potential privacy breaches and assess the effectiveness of existing controls. A data loss prevention (DLP) solution, a review of historical privacy incidents and a monitoring of inbound and outbound communications are useful tools for detecting and preventing privacy violations, but they do not provide a comprehensive view of the organization’s privacy risk posture.

A raw zone is a zone within a data lake that contains unprocessed or unstructured data that is ingested from various sources without any transformation or validation. A raw zone may contain sensitive data that has not been identified or classified yet, such as personal data. Therefore, sensitive data in a raw zone should be encrypted or tokenized to protect its confidentiality and integrity. Encryption is a process of transforming data into an unreadable form using a secret key or algorithm. Tokenization is a process of replacing sensitive data with non-sensitive substitutes called tokens. Both encryption and tokenization help to prevent unauthorized or unlawful access, use, disclosure, or transfer of sensitive data in a raw zone. References: : CDPSE Review Manual (Digital Version), page 169

The most important information to capture in the audit log of an application hosting personal data is the last user who accessed personal data. This is because the audit log is a record of the activities and events that occur within the application, such as user actions, system events, errors, or exceptions. The audit log helps to monitor and verify the compliance, security, and performance of the application, as well as to detect and investigate any incidents or anomalies. Capturing the last user who accessed personal data in the audit log helps to ensure the accountability and traceability of the data access, as well as to identify and prevent any unauthorized or inappropriate use, disclosure, or modification of personal data.