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The Certified Data Privacy Solutions Engineer (CDPSE) certification is offered by ISACA, a global organization that specializes in IT governance, risk management, and cybersecurity. The CDPSE Certification is designed to validate an individual's understanding of data privacy regulations, such as GDPR and CCPA, and their ability to implement data privacy solutions within an organization.
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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q29-Q34):
NEW QUESTION # 29
Which of the following is the GREATEST benefit of adopting data minimization practices?
- A. Compliance requirements are met.
- B. The associated threat surface is reduced.
- C. Storage and encryption costs are reduced.
- D. Data retention efficiency is enhanced.
Answer: B
Explanation:
The greatest benefit of adopting data minimization practices is that the associated threat surface is reduced. Data minimization is a privacy principle that states that personal data should be adequate, relevant, and limited to what is necessary for the purposes for which they are processed. Data minimization helps to protect data privacy by reducing the amount and type of personal data that are collected, stored, processed, or shared by an organization. This in turn reduces the exposure of personal data to potential threats, such as unauthorized access, use, disclosure, modification, or loss. Reference: : CDPSE Review Manual (Digital Version), page 29
NEW QUESTION # 30
Which of the following is the BEST way to ensure privacy is embedded into the training of an AI model?
- A. By posting a privacy notice before login
- B. By obtaining consent from individuals to use their data
- C. By using synthetic data
- D. By using de-identified data
Answer: C
Explanation:
Synthetic data is generated artificially to mimic patterns without containing real personal data, making it the strongest method to embed privacy by design in AI training. De-identification (A) reduces but does not eliminate reidentification risk; consent (B) addresses lawfulness, not privacy-preserving training; privacy notices (D) provide transparency but not technical risk reduction.
"Synthetic data allows AI model training without exposing real personal information."
NEW QUESTION # 31
Which of the following is MOST important to capture in the audit log of an application hosting personal data?
- A. Server details of the hosting environment
- B. Application error events
- C. Last user who accessed personal data
- D. Last logins of privileged users
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 # 32
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?
- A. Enforce annual attestation to policy compliance.
- B. Conduct regular control self-assessments (CSAs).
- C. Provide periodic user awareness training on data encryption.
- D. Implement a data loss prevention (DLP) tool.
Answer: D
NEW QUESTION # 33
Which of the following is a PRIMARY element of application and software hardening?
- A. Vulnerability analysis
- B. Database configuration
- C. Code review
- D. Software repository
Answer: C
Explanation:
Explanation
Code review is a primary element of application and software hardening. Code review is a process of examining the source code of an application or software to identify and fix errors, vulnerabilities, or inefficiencies that may compromise its functionality, security, or performance. Code review can help prevent common security risks such as buffer overflows, SQL injections, cross-site scripting, or logic flaws. Code review can also help improve the quality, readability, maintainability, and usability of the code. Code review can be done manually by developers or peers, or automatically by tools such as static code analyzers or code quality checkers.
Vulnerability analysis, database configuration, and software repository are also important for application and software hardening, but they are not primary elements. Vulnerability analysis is a process of identifying and assessing the weaknesses or flaws in an application or software that may expose it to attacks or exploitation.
Vulnerability analysis can be done by tools such as vulnerability scanners or penetration testers. Database configuration is a process of setting up and managing the parameters, options, or features of a database system that stores or processes data for an application or software. Database configuration can include aspects such as access control, encryption, backup, recovery, performance tuning, or replication. Software repository is a location where the source code, binaries, or documentation of an application or software are stored and managed. Software repository can facilitate version control, collaboration, distribution, or deployment of the application or software.
References: What is Application Hardening ? - GeeksforGeeks, What is OS Hardening and How Can Developers Implement it, System Hardening: An Easy-to-Understand Overview - Trenton Systems
NEW QUESTION # 34
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