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The CDPSE certification is highly valuable for professionals who wish to advance their careers in the field of data privacy. It demonstrates that the holder has a comprehensive understanding of the current data privacy landscape and can develop and implement effective data privacy solutions in organizations. Certified Data Privacy Solutions Engineer certification is recognized globally and is highly sought after by employers in various industries, including healthcare, finance, and technology.
The CDPSE exam covers a wide range of topics related to data privacy solutions engineering, including privacy governance, privacy architecture, data lifecycle management, privacy operations, and data protection. CDPSE Exam consists of 150 multiple-choice questions that are designed to test the candidate's understanding of the key concepts and best practices in the field of data privacy solutions engineering. To be eligible for the CDPSE certification, candidates must have at least five years of experience in privacy or data protection, with a minimum of three years of experience in data privacy solutions engineering.
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With the help of CDPSE study materials, you can conduct targeted review on the topics which to be tested before the exam, and then you no longer have to worry about the problems that you may encounter a question that you are not familiar with during the exam. With CDPSE study materials, you will not need to purchase any other review materials. We have hired professional IT staff to maintain CDPSE Study Materials and our team of experts also constantly updates and renew the question bank according to changes in the syllabus.
ISACA CDPSE (Certified Data Privacy Solutions Engineer) Exam is a globally recognized certification program designed for professionals who specialize in managing, implementing, and maintaining effective data privacy solutions in their organization. Certified Data Privacy Solutions Engineer certification is offered by ISACA, a global nonprofit association that supports professionals in the field of IT governance, risk management, and security.
ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q28-Q33):
NEW QUESTION # 28
Which of the following should be done FIRST to address privacy risk when migrating customer relationship management (CRM) data to a new system?
- A. Develop a data migration plan.
- B. Obtain consent from data subjects.
- C. Conduct a legitimate interest analysis (LIA).
- D. Perform a privacy impact assessment (PIA).
Answer: D
Explanation:
Explanation
A privacy impact assessment (PIA) is a systematic process to identify and evaluate the potential privacy impacts of a system, project, program or initiative that involves the collection, use, disclosure or retention of personal data. A PIA should be done first to address privacy risk when migrating customer relationship management (CRM) data to a new system, as it would help to ensure that privacy risks are identified and mitigated before the migration is executed. A PIA would also help to ensure compliance with privacy principles, laws and regulations, and alignment with customer expectations and preferences. The other options are not as important as performing a PIA when addressing privacy risk when migrating CRM data to a new system. Developing a data migration plan is a process of defining and documenting the objectives, scope, approach, methods and steps for transferring data from one system to another, but it does not necessarily address privacy risk or impact. Conducting a legitimate interest analysis (LIA) is a process of assessing whether there is a legitimate interest for processing personal data that outweighs the rights and interests of the data subjects, but it is only applicable in certain jurisdictions and situations where legitimate interest is a valid legal basis for processing. Obtaining consent from data subjects is a process of obtaining their permission or agreement before collecting, using, disclosing or transferring their personal data for specific purposes, but it may not be required or sufficient for migrating CRM data to a new system, depending on the context and nature of the migration and the applicable laws and regulations1, p. 67 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 29
Which of the following is the PRIMARY consideration to ensure control of remote access is aligned to the privacy policy?
- A. Access is logged on the virtual private network (VPN).
- B. Multi-factor authentication is enabled.
- C. Active remote access is monitored.
- D. Access is only granted to authorized users.
Answer: D
Explanation:
Explanation
The primary consideration to ensure control of remote access is aligned to the privacy policy is that access is only granted to authorized users. This means that the organization should implement and enforce policies and procedures to identify, authenticate, and authorize users who need to access personal data remotely, such as employees, contractors, or service providers. The organization should also define and communicate the roles and responsibilities of remote users, and the terms and conditions of remote access, such as the purpose, scope, duration, and security measures. By granting access only to authorized users, the organization can protect data privacy by preventing unauthorized or unnecessary access, use, disclosure, or transfer of personal data. References: : CDPSE Review Manual (Digital Version), page 107
NEW QUESTION # 30
Which of the following is the GREATEST benefit of adopting data minimization practices?
- A. Compliance requirements are met.
- B. Storage and encryption costs are reduced.
- C. Data retention efficiency is enhanced.
- D. The associated threat surface is reduced.
Answer: D
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 # 31
What should be the PRIMARY consideration of a multinational organization deploying a user and entity behavior analytics (UEBA) tool to centralize the monitoring of anomalous employee behavior?
- A. Cross-border data transfer
- B. Support staff availability and skill set
- C. User notification
- D. Global public interest
Answer: B
NEW QUESTION # 32
Which of the following is the MOST important privacy consideration when developing a contact tracing application?
- A. Whether the application can be audited for compliance purposes
- B. The proportionality of the data collected tor the intended purpose
- C. Retention period for data storage
- D. The creation of a clear privacy notice
Answer: B
Explanation:
Explanation
The proportionality of the data collected for the intended purpose is the most important privacy consideration when developing a contact tracing application. This means that the application should only collect the minimum amount of personal data necessary to achieve the specific and legitimate purpose of preventing and controlling the spread of COVID-191. The application should also ensure that the data collected are relevant, adequate, and not excessive in relation to the purpose2. The application should avoid collecting or processing any data that are not essential for the purpose, such as location data, biometric data, or health data unrelated to COVID-193. The application should also respect the data minimization principle, which requires that the data are kept for no longer than necessary for the purpose4. References:
European Data Protection Board Guidelines 04/2020 on the use of location data and contact tracing tools in the context of the COVID-19 outbreak Article 5(1) of the General Data Protection Regulation (GDPR) Article 29 Data Protection Working Party Opinion 04/2017 on the Proposed Regulation for the ePrivacy Regulation Article 5(1)(e) of the GDPR
NEW QUESTION # 33
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