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ISACA CDPSE or Certified Data Privacy Solutions Engineer exam is a certification exam that is designed to test the knowledge and skills required to implement and manage data privacy solutions for organizations. Certified Data Privacy Solutions Engineer certification is ideal for professionals who are responsible for ensuring data privacy compliance within their organization, such as IT managers, security analysts, and data protection officers.

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The Certified Data Privacy Solutions Engineer (CDPSE) certification exam is a highly respected and sought-after accreditation offered by ISACA. It is designed to test the knowledge and skills necessary to manage and implement data privacy solutions in complex business environments. CDPSE Exam is globally recognized and is a testament to the holder’s competence and professionalism in handling data protection challenges.

ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q79-Q84):

NEW QUESTION # 79
In which of the following should the data record retention period be defined and established?

Answer: C


NEW QUESTION # 80
Which of the following is the MOST effective way to support organizational privacy awareness objectives?

Answer: B

Explanation:
Explanation
The most effective way to support organizational privacy awareness objectives is D. Customizing awareness training by business unit function.
A comprehensive explanation is:
Organizational privacy awareness objectives are the goals and expectations that an organization sets for its employees and stakeholders regarding the protection and management of personal data. Privacy awareness objectives may vary depending on the nature, scope, and purpose of the organization's data processing activities, as well as the legal, regulatory, contractual, and ethical obligations and implications that apply to them.
One of the best practices to support organizational privacy awareness objectives is to customize awareness training by business unit function. This means that the organization should design and deliver privacy awareness training programs that are tailored to the specific roles, responsibilities, and needs of each business unit or department within the organization. Customizing awareness training by business unit function can have several benefits, such as:
Enhancing the relevance and effectiveness of the training content and methods for each audience group, by addressing their specific privacy challenges, risks, and opportunities.
Increasing the engagement and motivation of the trainees, by showing them how privacy relates to their daily tasks, goals, and performance.
Improving the retention and application of the training knowledge and skills, by providing practical examples, scenarios, and exercises that reflect the real-world situations and problems that the trainees may encounter.
Fostering a culture of privacy across the organization, by creating a common language and understanding of privacy concepts, principles, and practices among different business units or departments.
Some examples of how to customize awareness training by business unit function are:
Providing different levels or modules of training based on the degree of access or exposure to personal data that each business unit or department has. For example, a basic level of training for all employees, an intermediate level of training for employees who handle personal data occasionally or incidentally, and an advanced level of training for employees who handle personal data regularly or extensively.
Providing different topics or themes of training based on the type or category of personal data that each business unit or department processes. For example, a general topic of training for employees who process non-sensitive or non-personal data, a specific topic of training for employees who process sensitive or special data categories (such as health, biometric, financial, or political data), and a specialized topic of training for employees who process high-risk or high-value data (such as intellectual property, trade secrets, or customer loyalty data).
Providing different formats or modes of training based on the preferences or constraints of each business unit or department. For example, a face-to-face format of training for employees who work in the same location or office, an online format of training for employees who work remotely or across different time zones, and a blended format of training for employees who work in a hybrid mode or have flexible schedules.
The other options are not as effective as option D.
Funding in-depth training and awareness education for data privacy staff (A) may improve the competence and confidence of the data privacy staff who are responsible for designing and implementing the privacy policies and practices of the organization, but it does not necessarily support the organizational privacy awareness objectives for the rest of the employees and stakeholders.
Implementing an annual training certification process (B) may ensure that the employees and stakeholders are updated and refreshed on the privacy policies and practices of the organization on a regular basis, but it does not necessarily address their specific privacy needs and challenges based on their business unit function.
Including mandatory awareness training as part of performance evaluations may incentivize the employees and stakeholders to participate in and complete the privacy awareness training programs offered by the organization, but it does not necessarily enhance their understanding and application of privacy concepts and principles based on their business unit function.
References:
The Benefits of Information Security and Privacy Awareness Training Programs1 What Is Your Privacy and Data Protection Strategy?2 What is Data Privacy Awareness?3


NEW QUESTION # 81
Which of the following is the BEST indication of an effective records management program for personal data?

Answer: C

Explanation:
A retention schedule is a document that specifies how long different types of records or data should be kept and when they should be deleted or disposed of, based on legal, regulatory, operational or historical requirements. A retention schedule is the best indication of an effective records management program for personal data, as it reflects the principles of data minimization and storage limitation, which require limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes, and deleting or disposing of personal data when it is no longer needed or justified. A retention schedule also helps to reduce the privacy risks and costs associated with data storage and retention, such as data breaches, unauthorized access, misuse or loss of data. The other options are not as indicative of an effective records management program for personal data as a retention schedule. Archived data is used for future analytics may indicate that the organization is leveraging its data assets for business intelligence or research purposes, but it may not comply with the principles of data minimization and storage limitation, or the privacy rights and preferences of the data subjects. The legal department has approved the retention policy may indicate that the organization has obtained legal advice or guidance on its records management program for personal data, but it may not reflect the actual implementation or execution of the retention policy. All sensitive data has been tagged may indicate that the organization has implemented a data classification scheme for its records or data, but it may not indicate how long the records or data should be kept or when they should be deleted or disposed of1, p. 99-100 Reference: 1: CDPSE Review Manual (Digital Version)


NEW QUESTION # 82
Which of the following should be of GREATEST concern when an organization wants to store personal data in the cloud?

Answer: B


NEW QUESTION # 83
Which of the following is the BEST way to address privacy concerns when an organization captures personal data from a third party through an open application programming interface (API)?

Answer: A

Explanation:
Explanation
The best way to address privacy concerns when an organization captures personal data from a third party through an open application programming interface (API) is to obtain consent from the data subjects. Consent is a freely given, specific, informed, and unambiguous indication of the data subject's wishes by which they agree to the processing of their personal data by the organization for a defined purpose. Consent is one of the legal bases for processing personal data under various privacy laws and regulations such as the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA). Obtaining consent from the data subjects can help ensure that they are aware of and agree to the collection and use of their personal data by the organization through the open API. Obtaining consent can also help respect the data subject's rights and preferences regarding their personal data.
Developing a service level agreement (SLA) with the third party, implementing encryption for the data transmission, or reviewing the specification document of the open API are also good practices for addressing privacy concerns when using an open API to capture personal data from a third party, but they are not the best way. Developing an SLA with the third party can help define the roles, responsibilities, expectations, and obligations of both parties regarding the provision and use of the open API and the personal data involved.
Implementing encryption for the data transmission can help protect the confidentiality, integrity, and availability of the personal data transferred between the third party and the organization through the open API.
Reviewing the specification document of the open API can help understand the functionality, features, parameters, or requirements of the open API and how it handles personal data.
References: Open APIs and Security Risks | Govenda Board Portal Software, The top API security risks and how to mitigate them - Appinventiv, Critical API security risks: 10 best practices | TechBeacon


NEW QUESTION # 84
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