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100% Pass Quiz ISACA - CDPSE - Certified Data Privacy Solutions Engineer –Trustable Actual Test Pdf

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ISACA CDPSE certification exam is a valuable credential for IT professionals who are responsible for developing, implementing, and managing data privacy solutions in an organization. Certified Data Privacy Solutions Engineer certification demonstrates an individual's expertise in data privacy solutions engineering and their commitment to professional development. Certified Data Privacy Solutions Engineer certification is recognized globally and is highly respected by employers. The CDPSE certification provides individuals with a competitive advantage in the job market and access to a global network of professionals working in the same field.

ISACA CDPSE (Certified Data Privacy Solutions Engineer) exam is a certification program that focuses on data privacy and protection. CDPSE exam is designed to test the knowledge and skills of IT professionals who are responsible for designing, implementing, and managing data privacy solutions. The CDPSE certification is recognized globally and is highly valued by organizations that handle sensitive data.

ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q160-Q165):

NEW QUESTION # 160
Which of the following is MOST important to capture in the audit log of an application hosting personal data?

Answer: C

Explanation:
An audit log is a record of the activities and events that occur in an information system, such as an application hosting personal dat a. An audit log can help to monitor, detect, investigate and prevent unauthorized or malicious access, use, modification or deletion of personal data. An audit log can also help to demonstrate compliance with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA). An audit log should capture the following information for each event: 9 The date and time of the event The identity of the user or system that performed the event The type and description of the event The outcome or result of the event The personal data that were accessed, used, modified or deleted The last user who accessed personal data is the most important information to capture in the audit log, as it can help to identify who is responsible for any data breach or misuse of personal data. It can also help to verify that only authorized and legitimate users have access to personal data, and that they follow the data use policy and the principle of least privilege. The last user who accessed personal data can also help to support data subjects' rights, such as the right to access, rectify, erase or restrict their personal data.
The other options are less important or irrelevant to capture in the audit log of an application hosting personal data. Server details of the hosting environment are not related to personal data, and they can be obtained from other sources, such as network logs or configuration files. Last logins of privileged users are important to capture in a separate audit log for user account management, but they do not indicate what personal data were accessed or used by those users. Application error events are important to capture in a separate audit log for system performance and reliability, but they do not indicate what personal data were affected by those errors.
Reference:
IS Audit Basics: Auditing Data Privacy, section 4: "Audit logs should be maintained for all systems that process PII." Data Protection Audit Manual, section 3.2: "Audit trails should be kept for all processing operations involving personal data." Audit Logging Best Practices, section 2: "An audit log entry should contain enough information to answer who did what and when."


NEW QUESTION # 161
Which type of data is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people?

Answer: A

Explanation:
Inferred data is the type of data that is produced by using a more complex method of analytics to find correlations between data sets and using them to categorize or profile people. Inferred data is not directly observed or collected from the data subjects, but rather derived from other sources of data, such as behavioral, transactional, or demographic data. Inferred data can be used to make assumptions or predictions about the data subjects' preferences, interests, behaviors, or characteristics12.
Reference:
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.


NEW QUESTION # 162
An organization has a policy requiring the encryption of personal data if transmitted through email. Which of the following is the BEST control to ensure the effectiveness of this policy?

Answer: C

Explanation:
A data loss prevention (DLP) tool is a software solution that monitors, detects and prevents the unauthorized transmission or leakage of sensitive data, such as personal data, from an organization's network or devices. A DLP tool can help to ensure the effectiveness of a policy requiring the encryption of personal data if transmitted through email, by applying the following controls:
Scanning the content and attachments of outgoing emails for personal data, such as names, email addresses, biometric data, IP addresses, etc.
Blocking or quarantining emails that contain unencrypted personal data, and alerting the sender and/or the administrator of the policy violation.
Encrypting personal data automatically before sending them through email, using encryption standards and algorithms that are compliant with data protection laws and regulations, such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA).
Generating audit logs and reports of email activities and incidents involving personal data, and providing visibility and accountability for policy compliance.
The other options are less effective or irrelevant to ensure the effectiveness of the policy. Providing periodic user awareness training on data encryption is a good practice, but it does not guarantee that users will follow the policy or know how to encrypt personal data properly. Conducting regular control self-assessments (CSAs) is a useful method to evaluate the design and operation of the policy, but it does not prevent or detect policy violations in real time. Enforcing annual attestation to policy compliance is a formal way to demonstrate user commitment to the policy, but it does not verify or measure the actual level of compliance.
Reference:
The Complexity Conundrum: Simplifying Data Security - ISACA, section 3: "Data loss prevention (DLP) solutions can help prevent unauthorized access to sensitive information by monitoring network traffic for specific keywords or patterns." Guide to Securing Personal Data in Electronic Medium, section 3.2: "Organisations should consider implementing DLP solutions to prevent unauthorised disclosure of personal data via email." Encryption in the Hands of End Users - ISACA, section 2: "A key goal of encryption is to protect the file even when direct access is possible or the transfer is intercepted."


NEW QUESTION # 163
When tokenizing credit card data, what security practice should be employed with the original data before it is stored in a data lake?

Answer: B


NEW QUESTION # 164
When using anonymization techniques to prevent unauthorized access to personal data, which of the following is the MOST important consideration to ensure the data is adequately protected?

Answer: D

Explanation:
Anonymization is a technique that removes or modifies personal data in such a way that it can no longer be attributed to a specific data subject. Anonymization can be achieved by various methods, such as encryption, pseudonymization, aggregation, generalization, etc. When using anonymization techniques to prevent unauthorized access to personal data, the most important consideration to ensure the data is adequately protected is that the key must be kept separate and distinct from the data it protects. The key is a piece of information that is used to reverse the anonymization process and restore the original personal data. The key must be stored and managed in a secure location that is different from where the anonymized data is stored and processed. This way, even if the anonymized data is compromised, the key cannot be accessed or used to re-identify the data subjects. Reference: : CDPSE Review Manual (Digital Version), page 29


NEW QUESTION # 165
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