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ISACA CDPSE Pre-Exam Practice Tests | PassExamDumps
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P.S. Free & New CDPSE dumps are available on Google Drive shared by PassExamDumps: https://drive.google.com/open?id=1zVY22emHMW-ITCrRkrKXdIlAQuajEJF5
The website pages list the important information about our CDPSE real quiz, the exam name and code, the total quantity of the questions and answers, the characteristics and merits of the product, the price, the details and the guarantee of our CDPSE Training Materials, the contact methods, the evaluations of the client on our product and the related exams. You can analyze the information the website pages provide carefully before you decide to buy our CDPSE exam questions.
To be eligible to take the CDPSE Exam, candidates must have a minimum of five years of experience in the field of information technology, with at least three years of experience in data privacy. Candidates must also possess a bachelor's degree or higher from an accredited institution. In addition, candidates are required to adhere to the ISACA Code of Ethics and maintain their certification by earning continuing education credits.
Pass Guaranteed ISACA - CDPSE - The Best Valid Test Certified Data Privacy Solutions Engineer BootcampPassExamDumps is a website which always provide you the latest and most accurate information about ISACA certification CDPSE exam. In order to allow you to safely choose us, you can free download part of the exam practice questions and answers on PassExamDumps website as a free try. PassExamDumps can ensure you 100% pass ISACA Certification CDPSE Exam.
ISACA CDPSE (Certified Data Privacy Solutions Engineer) certification exam is a globally recognized certification that validates the skills and knowledge of professionals who are responsible for ensuring data privacy and security in their organization. Certified Data Privacy Solutions Engineer certification is designed for professionals who have experience in data privacy, security, and compliance, and are responsible for implementing and managing privacy solutions in their organization.
ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q132-Q137):NEW QUESTION # 132
Which of the following is MOST important to consider when managing changes to the provision of services by a third party that processes personal data?
- A. Updates to data life cycle policy
- B. Modifications to data quality standards
- C. Changes to current information architecture
- D. Business impact due to the changes
Answer: A
NEW QUESTION # 133
When a government's health division established the complete privacy regulation for only the health market, which privacy protection reference model is being used?
- A. Sectoral
- B. Comprehensive
- C. Self-regulatory
- D. Co-regulatory
Answer: A
Explanation:
Explanation
Sectoral is a privacy protection reference model that refers to a system of laws and regulations that apply to specific sectors or industries within a jurisdiction, such as health, finance, education or telecommunications.
Sectoral privacy protection is typically characterized by having different rules and standards for different types of personal data or data processing activities, depending on the sensitivity and value of the data or the impact and risk of the processing. When a government's health division established the complete privacy regulation for only the health market, it is using a sectoral privacy protection reference model, as it is addressing the specific needs and challenges of the health sector in terms of privacy protection. The other options are not applicable in this scenario. Co-regulatory is a privacy protection reference model that refers to a system of laws and regulations that are supplemented by self-regulation mechanisms, such as codes of conduct, standards or certification schemes, developed by industry associations or professional bodies with oversight from government agencies or regulators. Comprehensive is a privacy protection reference model that refers to a system of laws and regulations that apply to all sectors and industries within a jurisdiction, regardless of the type or nature of personal data or data processing activities. Self-regulatory is a privacy protection reference model that refers to a system of laws and regulations that rely on voluntary compliance by organizations with their own policies and procedures, without any external oversight or enforcement from government agencies or regulators1, p. 63-64 References: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 134
Who is ULTIMATELY accountable for the protection of personal data collected by an organization?
- A. Data custodian
- B. Data owner
- C. Data processor
- D. Data protection officer
Answer: B
Explanation:
Explanation
The data owner is the person or entity who has the ultimate authority and responsibility for the protection of personal data collected by an organization. The data owner defines the purpose, scope, classification, and retention of the personal data, as well as the rights and obligations of the data subjects and other parties involved in the data processing. The data owner also ensures that the personal data is handled in compliance with the applicable privacy laws and regulations, as well as the organization's privacy policies and standards.
The data owner may delegate some of the operational tasks to the data processor, data custodian, or data protection officer, but the accountability remains with the data owner.
References: CDPSE Review Manual, 2021, p. 81
NEW QUESTION # 135
What is the BEST method to protect customers' personal data that is forwarded to a central system for analysis?
- A. Anonymization
- B. Deletion
- C. Encryption
- D. Pseudonymization
Answer: D
Explanation:
Pseudonymization is a technique that replaces direct identifiers in a data set with pseudonyms or artificial identifiers that do not reveal the identity of the data subjects. Pseudonymization is the best method to protect customers' personal data that is forwarded to a central system for analysis, as it reduces the linkability of the data set with the original identity of the customers and thus enhances the privacy and security of the data. Pseudonymization also preserves some characteristics or patterns of the original data that can be used for analysis or research purposes, without compromising the accuracy or quality of the results. The other options are not as effective as pseudonymization in protecting customers' personal data that is forwarded to a central system for analysis. Deletion is a technique that removes or destroys data from a storage device or media to prevent unauthorized access or recovery of the data, but it does not allow for any analysis or research purposes. Encryption is a technique that transforms plain text data into cipher text using an algorithm and a key, making it unreadable by unauthorized parties, but it does not reduce the linkability of the data set with the original identity of the customers and may require additional security measures to protect the encryption keys or certificates. Anonymization is a technique that removes or modifies all identifiers in a data set to prevent or limit the identification of the data subjects, but it may affect the accuracy or quality of the analysis or research results, as some characteristics or patterns of the original data may be lost or distorted1, p. 74-75 Reference: 1: CDPSE Review Manual (Digital Version)
NEW QUESTION # 136
An organization has initiated a project to enhance privacy protections by improving its information security controls. Which of the following is the MOST useful action to help define the scope of the project?
- A. Review proposed privacy rules that govern the processing of personal data
- B. Identify databases that contain personal data
- C. Review recent audit reports on the internal control environment
- D. Identify databases that do not have encryption in place.
Answer: A
Explanation:
Explanation
Reviewing proposed privacy rules that govern the processing of personal data is the most useful action to help define the scope of the project because it helps identify the legal and regulatory requirements, the data protection principles and the privacy objectives that the information security controls need to support.
Reviewing recent audit reports, identifying databases that contain personal data or do not have encryption in place are helpful actions to assess the current state of privacy and security, but they do not provide a clear direction for the project scope.
References:
CDPSE Review Manual (Digital Version), Domain 2: Privacy Architecture, Task 2.1: Identify and/or define privacy requirements1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3: Privacy Architecture, Section: Privacy Requirements2
NEW QUESTION # 137
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