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Valid CDPSE Exam Vce - CDPSE Premium Files

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The CDPSE exam is designed to test an individual’s proficiency in various areas of data privacy such as privacy program governance, privacy operations, privacy architecture, and privacy regulations and standards. CDPSE exam measures an individual’s ability to evaluate privacy risks, develop and implement privacy policies, and ensure compliance with various privacy regulations such as GDPR, CCPA, HIPAA, and PCI DSS. CDPSE exam also tests an individual’s understanding of privacy technologies and their ability to implement and manage privacy solutions.

ISACA CDPSE (Certified Data Privacy Solutions Engineer) Certification Exam is a professional certification exam designed for individuals who possess a high level of expertise in data privacy solutions engineering. Certified Data Privacy Solutions Engineer certification is offered by the Information Systems Audit and Control Association (ISACA), one of the leading professional associations for IT governance, assurance and security professionals worldwide.

The CDPSE Exam is one of the newest certifications offered by ISACA, a global professional association that focuses on information technology and cybersecurity. In recent years, there has been a growing demand for professionals with expertise in data privacy, as organizations increasingly recognize the importance of protecting the privacy of their customers and employees. The CDPSE certification is designed to help professionals demonstrate their expertise in this area and stand out in a competitive job market. With the CDPSE certification, professionals can demonstrate their knowledge of best practices in data privacy and their ability to implement effective privacy solutions within their organizations.

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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q85-Q90):

NEW QUESTION # 85
Which of the following BEST ensures a mobile application implementation will meet an organization's data security standards?

A. Privacy impact assessment (PIA)
B. Automatic dynamic code scan
C. User acceptance testing (UAT)
D. Data classification

Answer: B

Explanation:
Explanation
A mobile application implementation should meet the organization's data security standards by ensuring that the application does not contain any vulnerabilities, errors or malicious code that could compromise the confidentiality, integrity or availability of the data. An automatic dynamic code scan is a technique that analyzes the application code while it is running to detect and report any security issues or defects. An automatic dynamic code scan can help to identify and fix any potential data security risks before the application is deployed. The other options are not sufficient to ensure data security standards. UAT is a process of verifying that the application meets the user requirements and expectations, but it does not necessarily test for data security. Data classification is a process of categorizing data according to its sensitivity and value, but it does not ensure that the data is protected by the application. A PIA is a process of identifying and evaluating the privacy impacts of a system or project that involves personal data, but it does not ensure that the system or project meets data security standards. , p. 89-90 References: : CDPSE Review Manual (Digital Version)

NEW QUESTION # 86
Which of the following is the BEST way to ensure privacy considerations are included when working with vendors?

A. Including privacy requirements in vendor contracts
B. Monitoring privacy-related service level agreements (SLAS)
C. Requiring vendors to complete privacy awareness training
D. Including privacy requirements in the request for proposal (RFP) process

Answer: A

Explanation:
Explanation
Including privacy requirements in vendor contracts is the best way to ensure privacy considerations are included when working with vendors because it establishes the obligations, expectations and responsibilities of both parties regarding the protection of personal data. It also provides a legal basis for enforcing compliance and resolving disputes. Including privacy requirements in the request for proposal (RFP) process, monitoring privacy-related service level agreements (SLAs) and requiring vendors to complete privacy awareness training are helpful measures, but they do not guarantee that vendors will adhere to the privacy requirements or that they will be held accountable for any violations.
References:
CDPSE Review Manual (Digital Version), Domain 1: Privacy Governance, Task 1.7: Participate in the management and evaluation of contracts, service levels and practices of vendors and other external parties1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 2: Privacy Governance, Section: Vendor Management2

NEW QUESTION # 87
Which of the following tracking technologies associated with unsolicited targeted advertisements presents the GREATEST privacy risk?

A. Website cookies
B. Beacon-based tracking
C. Online behavioral tracking
D. Radio frequency identification (RFID)

Answer: A

NEW QUESTION # 88
Which of the following BEST enables an organization to ensure consumer credit card numbers are accurately captured?

A. Reconciliation controls
B. Input validation controls
C. Access controls
D. Input reference controls

Answer: B

Explanation:
Input validation controls are the best way to ensure consumer credit card numbers are accurately captured. Input validation controls are methods that check the format, type, range, and length of the input data before accepting, processing, or storing it. Input validation controls can help prevent errors, fraud, or data loss by rejecting invalid, incomplete, or malicious input. For example, input validation controls can verify that a credit card number follows the Luhn algorithm1, has the correct number of digits2, and matches the card issuer's prefix3. Input validation controls can also prevent SQL injection attacks4 or cross-site scripting attacks5 that may compromise the security and privacy of the data.
Input reference controls, access controls, and reconciliation controls are also important for data quality and security, but they do not directly ensure the accuracy of consumer credit card numbers. Input reference controls are methods that compare the input data with a predefined list of values or a reference table to ensure consistency and validity. For example, input reference controls can check if a country name or a postal code is valid by looking up a database of valid values. Access controls are methods that restrict who can access, modify, or delete the data based on their roles, permissions, or credentials. For example, access controls can prevent unauthorized users from accessing or tampering with consumer credit card numbers. Reconciliation controls are methods that compare the data from different sources or systems to ensure completeness and accuracy. For example, reconciliation controls can check if the transactions recorded in the accounting system match the transactions processed by the payment gateway.

NEW QUESTION # 89
Which of the following is the MOST important consideration for developing data retention requirements?

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

Answer: D

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.
Reference:
Data Retention Policy 101: Best Practices, Examples & More - Intradyn
Data retention - Wikipedia

NEW QUESTION # 90
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