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It will provide them with the CDPSE exam pdf questions updates free of charge if the CDPSE certification exam issues the latest changes. If you work hard using our top-rated, updated, and excellent ISACA CDPSE PDF Questions, nothing can refrain you from getting the Certified Data Privacy Solutions Engineer (CDPSE) certificate on the maiden endeavor.

ISACA CDPSE exam is a computer-based exam consisting of 100 multiple-choice questions. Candidates have four hours to complete the exam. CDPSE Exam covers four domains: Data Privacy Governance, Data Privacy Architecture, Data Privacy Operations, and Data Privacy Solutions.

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ISACA CDPSE (Certified Data Privacy Solutions Engineer) certification exam is a highly sought-after credential for professionals who want to advance their careers in the field of data privacy. This credential is designed to validate the knowledge and skills of professionals in the area of data privacy solutions engineering. The CDPSE Certification Exam is a comprehensive exam that covers a wide range of topics related to data privacy, including privacy governance, data protection, and compliance.

ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of the following is the BEST way to validate that privacy practices align to the published enterprise privacy management program?

Answer: D

Explanation:
Explanation
The best way to validate that privacy practices align to the published enterprise privacy management program is to conduct an audit. An audit is an independent and objective examination of evidence to provide assurance that privacy practices are effective and compliant with the enterprise privacy management program. An audit can also identify any gaps or weaknesses in the privacy practices and provide recommendations for improvement. An audit can be conducted internally or externally, depending on the scope, objectives, and standards of the audit. References: : CDPSE Review Manual (Digital Version), page 83


NEW QUESTION # 11
An organization has an initiative to implement database encryption to strengthen privacy controls. Which of the following is the MOST useful information for prioritizing database selection?

Answer: D

Explanation:
The most useful information for prioritizing database selection for encryption is the asset classification scheme. An asset classification scheme is a system of organizing and categorizing assets based on their value, sensitivity, criticality, or risk level. An asset classification scheme helps to determine the appropriate level of protection or handling for each asset. For example, an asset classification scheme may assign labels such as public, internal, confidential, or secret to different types of data based on their impact if compromised. Databases that contain higher-classified data should be prioritized for encryption to prevent unauthorized access, disclosure, or modification.
Database administration audit logs, historical security incidents, or penetration test results are also useful information for database security, but they are not the most useful for prioritizing database selection for encryption. Database administration audit logs are records of activities performed by database administrators or other privileged users on the database system. Database administration audit logs help to monitor and verify the actions and changes made by authorized users and detect any anomalies or violations. Historical security incidents are records of events that have compromised or threatened the security of the database system in the past. Historical security incidents help to identify and analyze the root causes, impacts, and lessons learned from previous breaches or attacks. Penetration test results are reports of simulated attacks performed by ethical hackers or security experts on the database system to evaluate its vulnerabilities and defenses. Penetration test results help to discover and exploit any weaknesses or gaps in the database security posture and recommend remediation actions.


NEW QUESTION # 12
Which data warehousing operating model masks data within a larger database to provide subset views to users?

Answer: B


NEW QUESTION # 13
Which of the following is the BEST course of action to prevent false positives from data loss prevention (DLP) tools?

Answer: A

Explanation:
Explanation
The best course of action to prevent false positives from data loss prevention (DLP) tools is to re-establish baselines for configuration rules. False positives are events that are triggered by a DLP policy in error, meaning that the policy has mistakenly identified non-sensitive data as sensitive or blocked legitimate actions.
False positives can reduce the effectiveness and efficiency of DLP tools by generating unnecessary alerts, wasting resources, disrupting workflows, and creating user frustration. To avoid false positives, DLP tools need to have accurate and updated configuration rules that define what constitutes sensitive data and what actions are allowed or prohibited. Configuration rules should be based on clear and consistent criteria, such as data classification levels, data sources, data destinations, data formats, data patterns, user roles, user behaviors, etc. Configuration rules should also be regularly reviewed and adjusted to reflect changes in business needs, regulatory requirements, or threat landscape.
Conducting additional discovery scans, suppressing the alerts generating the false positives, or evaluating new DLP tools are not the best ways to prevent false positives from DLP tools. Conducting additional discovery scans may help identify more sensitive data in the network, but it does not address the root cause of false positives, which is the misconfiguration of DLP policies. Suppressing the alerts generating the false positives may reduce the noise and annoyance caused by false positives, but it does not solve the problem of inaccurate or outdated DLP policies. Evaluating new DLP tools may offer some advantages in terms of features or performance, but it does not guarantee that false positives will be eliminated or reduced without proper configuration and tuning of DLP policies.
References: False Positives Handling| Endpoint Data Loss Prevention - ManageEngine ..., Scenario-based troubleshooting guide - DLP Issues, Respond to a DLP policy violation in Power BI - Power BI


NEW QUESTION # 14
It is MOST important to consider privacy by design principles during which phase of the software development life cycle (SDLC)?

Answer: C

Explanation:
Explanation
Requirements definition is a phase of the software development life cycle (SDLC) that involves gathering, analyzing and documenting the functional and non-functional requirements of the software system or application, such as features, performance, security and usability. It is most important to consider privacy by design principles during this phase, as it would help to ensure that privacy is embedded and integrated into the software system or application from the outset, rather than as an afterthought or an add-on. Considering privacy by design principles during requirements definition would also help to avoid costly rework or delays later in the SDLC, as well as to enhance customer trust and satisfaction, and comply with privacy laws and regulations. The other options are not as important as requirements definition in considering privacy by design principles. Application design is a phase of the SDLC that involves creating and specifying the architecture, components, interfaces and data models of the software system or application, based on the requirements defined in the previous phase. Implementation is a phase of the SDLC that involves coding, testing and debugging the software system or application, based on the design specifications created in the previous phase. Testing is a phase of the SDLC that involves verifying and validating that the software system or application meets the requirements and expectations of the users and stakeholders, as well as identifying and fixing any defects or errors1, p. 88-89 References: 1: CDPSE Review Manual (Digital Version)


NEW QUESTION # 15
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