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One of the key benefits of the CDPSE Certification is that it demonstrates a professional's understanding of global privacy regulations and their ability to develop and implement solutions that comply with these regulations. With the increasing number of privacy regulations around the world, including the GDPR, CCPA, and LGPD, the demand for professionals who can navigate these regulations and develop effective solutions is on the rise.

ISACA CDPSE certification provides individuals with the skills and knowledge necessary to implement effective data privacy solutions within their organization. As data breaches continue to make headlines, the demand for individuals with expertise in data privacy is only going to increase. By becoming certified in CDPSE, individuals can position themselves as leaders in this rapidly growing field and make a real impact on the privacy and security of personal data.

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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which of the following is the MOST effective remote access model for reducing the likelihood of attacks originating from connecting devices?

A. Remote wide area network (WAN) links
B. Thin Client remote desktop protocol (RDP)
C. Thick client desktop with virtual private network (VPN) connection
D. Site-to-site virtual private network (VPN)

Answer: B

Explanation:
A thin client remote desktop protocol (RDP) is the most effective remote access model for reducing the likelihood of attacks originating from connecting devices, because it minimizes the amount of data and processing that occurs on the remote device. A thin client RDP only sends keyboard, mouse and display information between the remote device and the server, while the actual processing and storage of data happens on the server. This reduces the exposure of sensitive data and applications to potential attackers who may compromise the remote device.
Reference:
CDPSE Review Manual, Chapter 2 - Privacy Architecture, Section 2.3 - Privacy Architecture Implementation1.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 - Privacy Architecture, Section 2.4 - Remote Access2.

NEW QUESTION # 39
Which of the following is the MOST important consideration for developing data retention requirements?

A. Industry guidelines
B. Applicable regulations
C. Data classification rules
D. Cost-benefit analysis

Answer: B

Explanation:
Explanation
The most important consideration for developing data retention requirements is the applicable regulations that govern the data. Different types of data may be subject to different legal and regulatory obligations, such as how long the data must be kept, how it must be protected, and how it can be accessed or disposed of. Failing to comply with these obligations can result in fines, penalties, lawsuits, or reputational damage for the organization. Therefore, it is essential to identify and follow the applicable regulations for each data category.
References:
* Data Retention Policy 101: Best Practices, Examples & More - Intradyn
* Data retention - Wikipedia

NEW QUESTION # 40
Which of the following is the PRIMARY reason for an organization to use hash functions when hardening application systems involved in biometric data processing?

A. To prevent possible identity theft
B. To meet the organization's security baseline
C. To reduce the risk of sensitive data breaches
D. To ensure technical security measures are effective

Answer: C

Explanation:
The primary reason for an organization to use hash functions when hardening application systems involved in biometric data processing is to reduce the risk of sensitive data breaches, because hash functions are one-way mathematical functions that transform biometric data into a unique and irreversible representation that cannot be reconstructed or reversed. This means that even if an attacker gains access to the hashed biometric data, they cannot use it to identify or impersonate the individual. Hash functions also help preserve the privacy and confidentiality of biometric data by preventing unauthorized access, modification, or disclosure.
Reference:
CDPSE Exam Content Outline, Domain 2 - Privacy Architecture (Privacy Architecture Implementation), Task 2: Implement privacy solutions1.
CDPSE Review Manual, Chapter 2 - Privacy Architecture, Section 2.3 - Privacy Architecture Implementation2.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2 - Privacy Architecture, Section 2.4 - Remote Access3.

NEW QUESTION # 41
Which of the following techniques mitigates design flaws in the application development process that may contribute to potential leakage of personal data?

A. User acceptance testing (UAT)
B. Patch management
C. Software hardening
D. Web application firewall (WAF)

Answer: C

Explanation:
Explanation
Software hardening is a technique that mitigates design flaws in the application development process that may contribute to potential leakage of personal data. Software hardening is a process of modifying or configuring software to make it more secure and resilient against attacks or exploitation. Software hardening can involve various methods, such as removing unnecessary features or functions, disabling debugging or testing modes, applying patches or updates, implementing secure coding practices, etc. Software hardening helps to protect personal data by preventing or reducing the vulnerabilities that can allow unauthorized access, use, disclosure, or transfer of personal data. References: : CDPSE Review Manual (Digital Version), page 151

NEW QUESTION # 42
Which of the following information would MOST likely be considered sensitive personal data?

A. Contact phone number
B. Mailing address
C. Bank account login ID
D. Ethnic origin

Answer: D

Explanation:
Sensitive personal data is a subset of personal data that reveals or relates to more intimate or confidential aspects of a person's identity, such as their racial or ethnic origin, religious or philosophical beliefs, health status, sexual orientation, political opinions, trade union membership, biometric or genetic data, or criminal record. Sensitive personal data is subject to more stringent legal and regulatory protections and requires a higher level of consent from the data subject to be processed. Mailing address, bank account login ID, and contact phone number are examples of personal data, but not sensitive personal data, as they do not reveal or relate to such intimate or confidential aspects of a person's identity.

NEW QUESTION # 43
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