CDPSE Exam Dumps - Isaca Certification Questions and Answers

The best way for an organization to ensure its vendors are complying with data privacy requirements defined in their contracts is to obtain independent assessments of the vendors’ data management processes, because this will provide an objective and reliable evaluation of the vendors’ privacy practices, policies, and controls. Independent assessments can be performed by external auditors, consultants, or certification bodies that have the expertise and credibility to verify the vendors’ compliance with the contractual obligations and expectations. Independent assessments can also help identify and address any privacy risks or gaps that may arise from the vendors’ processing of personal data12.

The most effective way to incorporate privacy by design principles into applications is to include privacy requirements in software development practices, because this ensures that privacy is considered and integrated from the early stages of the design process and throughout the entire lifecycle of the application. Software development practices include activities such as defining the scope, objectives, and specifications of the application, identifying and analyzing the privacy risks and impacts, selecting and implementing the appropriate privacy-enhancing technologies and controls, testing and validating the privacy functionality and performance, and monitoring and reviewing the privacy compliance and effectiveness of the application. By including privacy requirements in software development practices, the organization can achieve a proactive, preventive, and embedded approach to privacy that aligns with the privacy by design principles.

Data flow diagrams (DFDs) are most valuable for illustrating the locations and movements of personal data across systems and processes, which is essential for compliance mapping and controls. Mapping at rest (C) or transit (D) are subsets of this broader view, while (A) is vague.

“DFDs identify where personal data resides and flows, supporting compliance and risk management.”

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

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.

A privacy audit is a systematic and independent examination of an organization’s privacy policies, procedures, practices, and controls to assess their compliance with applicable laws, regulations, standards, and best practices. A privacy audit may result in various outputs, such as findings, recommendations, observations, or opinions. Among the options given, the output that is most likely to trigger remedial action is the identification of deficiencies in how personal data is shared with third parties. This is because such deficiencies may pose significant risks to the privacy and security of the data subjects, as well as to the reputation and legal liability of the organization. Remedial action may include implementing contractual safeguards, technical measures, or organizational changes to ensure that third parties respect and protect the personal data they receive from the organization.

The data protection principle that is applied when an online business posts its customer data protection notice that includes a statement indicating information is collected on how products are used, the content viewed, and the time and duration of online activities is lawfulness and fairness. Lawfulness and fairness are two of the core principles of data protection under various laws and regulations, such as the GDPR or the CCPA. They state that personal data should be processed lawfully, fairly and in a transparent manner in relation to the data subject. By posting a customer data protection notice that informs customers about what information is collected and for what purpose, the online business demonstrates its compliance with these principles.

System use requirements, data integrity and confidentiality, or data use limitation are not the correct names of the data protection principles that are applied in this case. System use requirements are not a specific principle of data protection, but rather a general term that refers to the rules or policies that govern how users can access and use a system or service. Data integrity and confidentiality are two aspects of the security principle of data protection, which states that personal data should be processed in a manner that ensures appropriate security of the personal data. Data use limitation is not a specific principle of data protection either, but rather a concept that relates to the purpose limitation principle, which states that personal data should be collected for specified, explicit and legitimate purposes and not further processed in a manner that is incompatible with those purposes.

CDPSE/ISACA risk response taxonomy defines risk avoidance as deciding not to engage in the activity that gives rise to the risk. Reduction/mitigation (B/D) means proceed with controls; acceptance (C) means proceed without additional treatment. Not expanding is classic avoidance.

Key CDPSE-aligned phrasing (short extract): “Risk avoidance: Discontinue or do not initiate activities that create risk.”