Explanation
Data flow mapping is a technique to document how personal data flows within and outside an organization, including the sources, destinations, formats, purposes and legal bases of the data processing activities. Data flow mapping helps organizations to assess privacy risks, such as data breaches, unauthorized access, misuse or loss of data, and to implement appropriate controls to mitigate those risks. Data flow mapping may also help organizations to evaluate the effectiveness of data controls, determine data integration gaps and comply with regulations, but those are not the primary reasons for data flow mapping1, p. 69-70 References: 1:
CDPSE Review Manual (Digital Version)

Explanation
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.
References:
CDPSE Review Manual (Digital Version), Domain 1: Privacy Governance, Task 1.4: Coordinate and/or perform privacy impact assessments (PIA) and other privacy-focused assessments1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2: Privacy Governance, Section: Privacy Risk Assessment2

Explanation
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

Explanation
User behavior analytics tools are the best control to detect potential internal breaches of personal data because they monitor and analyze the activities and patterns of users on the network and systems, and alert or block any anomalous or suspicious behavior that may indicate unauthorized access, misuse or exfiltration of personal data. Data loss prevention (DLP) systems, employee background checks and classification of data are useful controls to prevent or mitigate internal breaches of personal data, but they do not necessarily detect them.
References:
CDPSE Review Manual (Digital Version), Domain 2: Privacy Architecture, Task 2.4: Design and/or implement privacy controls1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3: Privacy Architecture, Section: Privacy Controls2

Explanation
Awareness campaigns are initiatives that aim to educate and inform employees about the importance of privacy protection, the organization's privacy policies and procedures, the applicable laws and regulations, and the best practices and behaviors to safeguard personal data. Awareness campaigns can support an organization's efforts to create and maintain desired privacy protection practices among employees by raising their awareness, understanding and commitment to privacy, as well as by influencing their attitudes, values and culture. Awareness campaigns can use various methods and channels, such as posters, newsletters, videos, webinars, quizzes, games or events, to deliver consistent and engaging messages to the target audience. The other options are not the best ways to support an organization's efforts to create and maintain desired privacy protection practices among employees. Skills training programs are focused on developing specific technical or functional skills related to privacy, but they may not address the broader aspects of privacy awareness or culture. Performance evaluations are focused on measuring and rewarding individual or team performance based on predefined criteria or objectives, but they may not reflect the actual level of privacy awareness or practice. Code of conduct principles are focused on establishing and enforcing ethical standards and rules of behavior for employees, but they may not be sufficient to create or maintain privacy awareness or practice without effective communication and education1, p. 103-104 References: 1: CDPSE Review Manual (Digital Version)