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[General] Updated ISACA CDPSE Practice Questions In Three Formats

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【General】 Updated ISACA CDPSE Practice Questions In Three Formats

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ISACA CDPSE (Certified Data Privacy Solutions Engineer) exam is a certification program that focuses on data privacy and protection. CDPSE exam is designed to test the knowledge and skills of IT professionals who are responsible for designing, implementing, and managing data privacy solutions. The CDPSE certification is recognized globally and is highly valued by organizations that handle sensitive data.
ISACA CDPSE (Certified Data Privacy Solutions Engineer) Certification Exam is a highly sought-after certification in the field of data privacy solutions engineering. Certified Data Privacy Solutions Engineer certification is designed for professionals who have expertise in developing and implementing solutions to ensure the protection of data privacy. The credential is recognized globally and is highly valued by employers, making it a highly sought-after certification by individuals looking to advance their careers in this field.
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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q190-Q195):NEW QUESTION # 190
During the design of a role-based user access model for a new application, which of the following principles is MOST important to ensure data privacy is protected?
  • A. Two-person rule
  • B. Need-to-know basis
  • C. Segregation of duties
  • D. Unique user credentials
Answer: B
Explanation:
The need-to-know basis principle is a security principle that states that access to personal data should be limited to those who have a legitimate purpose for accessing it. The need-to-know basis principle helps to protect data privacy by minimizing the exposure of personal data to unauthorized or unnecessary parties, reducing the risk of data breaches, leaks, or misuse. The need-to-know basis principle should be applied when designing a role-based user access model for a new application, by defining clear roles and responsibilities for different users, granting access rights based on their roles and functions, and enforcing access controls and audits to monitor and verify data access. Reference: : CDPSE Review Manual (Digital Version), page 105

NEW QUESTION # 191
A mortgage lender has created an online application that collects borrower information and delivers a mortgage decision automatically based on criteria set by the lender. Which fundamental data subject right does this process infringe upon?
  • A. Right to be informed
  • B. Right not to be profiled
  • C. Right to restriction of processing
  • D. Right to object
Answer: B
Explanation:
Explanation
The right not to be profiled is the right of data subjects to not be subject to a decision based solely on automated processing, including profiling, which produces legal or similarly significant effects on them. The online application that delivers a mortgage decision automatically based on criteria set by the lender is an example of such a decision, as it affects the data subject's ability to obtain a loan.
References:
* What exactly is 'profiling' under the GDPR - DMA
* Can I be subject to automated individual decision-making, including profiling - European Commission

NEW QUESTION # 192
Which of the following is MOST important when designing application programming interfaces (APIs) that enable mobile device applications to access personal data?
  • A. User consent to share personal data
  • B. Umbrella consent for multiple applications by the same developer
  • C. Unlimited retention of personal data by third parties
  • D. The user's ability to select, filter, and transform data before it is shared
Answer: A
Explanation:
User consent to share personal data is the most important factor when designing APIs that enable mobile device applications to access personal data, as it ensures that the user is informed and agrees to the purpose, scope, and duration of the data sharing. User consent also helps to comply with the data protection principles and regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), that require user consent for certain types of data processing and sharing134. Reference: 1 Domain 2, Task 7

NEW QUESTION # 193
Which of the following is the GREATEST benefit of adopting data minimization practices?
  • A. Storage and encryption costs are reduced.
  • B. Compliance requirements are met.
  • C. The associated threat surface is reduced.
  • D. Data retention efficiency is enhanced.
Answer: C
Explanation:
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. References: : CDPSE Review Manual (Digital Version), page 29

NEW QUESTION # 194
Which of the following is MOST important when developing an organizational data privacy program?
  • A. Following an established privacy framework
  • B. Obtaining approval from process owners
  • C. Performing an inventory of all data
  • D. Profiling current data use
Answer: A
Explanation:
Following an established privacy framework is the most important step when developing an organizational data privacy program because it provides a structured and consistent approach to identify, assess, and manage privacy risks and compliance obligations. A privacy framework can also help to align the privacy program with the organization's strategic goals, values, and culture, as well as to communicate and demonstrate the privacy program's effectiveness to internal and external stakeholders. Some examples of established privacy frameworks are the NIST Privacy Framework, the ISO/IEC 27701:2019, and the AICPA Privacy Maturity Model.
Reference:
NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management, NIST ISO/IEC 27701:2019 Security techniques - Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management - Requirements and guidelines, ISO Privacy Maturity Model, AICPA

NEW QUESTION # 195
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