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ISACA CDPSE (Certified Data Privacy Solutions Engineer) is a globally recognized certification that validates an individual's knowledge and expertise in managing, designing, and implementing data privacy solutions. Certified Data Privacy Solutions Engineer certification is designed to help professionals develop their skill set in data privacy, governance, and risk management. Certified Data Privacy Solutions Engineer certification is ideal for IT professionals, privacy officers, data protection professionals, and auditors who want to specialize in data privacy solutions.

The Data Privacy Governance domain covers data privacy regulations and standards, privacy risk management, privacy program management, and privacy policies and procedures. The Data Privacy Architecture domain covers data privacy technology solutions, data privacy architecture design, data privacy architecture implementation, and data privacy impact assessments.

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ISACA, a global non-profit organization that specializes in IT governance, security, and audit, established the CDPSE certification program in response to the growing demand for data privacy professionals. Certified Data Privacy Solutions Engineer certification is intended for those who work in diverse organizational settings, including healthcare, finance, government, and education. The CDPSE Exam is ideal for professionals who are looking to advance their careers in data privacy or those who want to specialize in the field.

ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q214-Q219):

NEW QUESTION # 214
Which of the following outputs of a privacy audit is MOST likely to trigger remedial action?

Answer: C

Explanation:
Explanation
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.
References: CDPSE Review Manual, 2021, p. 181


NEW QUESTION # 215
A migration of personal data involving a data source with outdated documentation has been approved by senior management. Which of the following should be done NEXT?

Answer: D

Explanation:
Explanation
Ensuring appropriate data classification should be done next after a migration of personal data involving a data source with outdated documentation has been approved by senior management, as it helps to identify the types, locations, and owners of the data, and to apply the appropriate privacy controls and measures based on the data classification level. Data classification also facilitates the data discovery, data minimization, data retention, and data disposal processes15. References: 1 Domain 3, Task 2; 5 Page 9


NEW QUESTION # 216
It is MOST important to consider privacy by design principles during which phase of the software development life cycle (SDLC)?

Answer: A

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 Reference: 1: CDPSE Review Manual (Digital Version)


NEW QUESTION # 217
Data collected by a third-party vendor and provided back to the organization may not be protected according to the organization's privacy notice. Which of the following is the BEST way to address this concern?

Answer: C


NEW QUESTION # 218
Which of the following helps define data retention time in a stream-fed data lake that includes personal data?

Answer: B

Explanation:
Data privacy standards are the set of rules, guidelines, and best practices that define the requirements and expectations for the collection, processing, storage, sharing, and disposal of personal dat a. Data privacy standards help to ensure that personal data is treated in a fair, lawful, transparent, and secure manner, as well as to comply with the applicable privacy laws and regulations. Data privacy standards also help to define the data retention time in a stream-fed data lake that includes personal data, as they specify the criteria and conditions for how long personal data can be kept in the data lake, based on factors such as the purpose, necessity, relevance, and quality of the data. Data retention time is an important aspect of data privacy, as it affects the risk of data breaches, unauthorized access, or misuse of personal data.


NEW QUESTION # 219
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