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[General] ISACA CDPSE Latest Exam Registration & CDPSE Sample Test Online

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【General】 ISACA CDPSE Latest Exam Registration & CDPSE Sample Test Online

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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q225-Q230):NEW QUESTION # 225
Which of the following is MOST important to include in a data use policy?
  • A. The requirements for collecting and using personal data
  • B. The length of time personal data will be retained
  • C. The method used to delete or destroy personal data
  • D. The reason for collecting and using personal data
Answer: A
Explanation:
Explanation
A data use policy is a document that defines the rules and guidelines for how personal data are collected, used, stored, shared and deleted by an organization. It is an important part of data governance and compliance, as it helps to ensure that personal data are handled in a lawful, fair and transparent manner, respecting the rights and preferences of data subjects. A data use policy should include the requirements for collecting and using personal data, such as the legal basis, the purpose, the scope, the consent, the data minimization, the accuracy, the security and the accountability. These requirements help to establish the legitimacy and necessity of data processing activities, and to prevent unauthorized or excessive use of personal data.
References:
* ISACA Privacy Notice & Usage Disclosures, section 2.1: "We collect Personal Information from you when you provide it to us directly or through a third party who has assured us that they have obtained your consent."
* Chapter Privacy Policy - Singapore Chapter - ISACA, section 2: "We will collect your personal data in accordance with the PDPA either directly from you or your authorized representatives, and/or through our third party service providers."
* Data Minimization-A Practical Approach - ISACA, section 2: "Enterprises may only collect as much data as are necessary for the purposes defined at the time of collection, which may also be set out in a privacy notice (sometimes referred to as a privacy statement, a fair processing statement or a privacy policy)."
* Establishing Enterprise Roles for Data Protection - ISACA, section 3: "Data governance is typically implemented in organizations through policies, guidelines, tools and access controls."

NEW QUESTION # 226
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. Self-regulatory
  • B. Sectoral
  • C. Co-regulatory
  • D. Comprehensive
Answer: B
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 # 227
Which of the following is the MOST important consideration when processing personal data for an AI project?
  • A. Establishing the appropriate legal basis before processing personal data
  • B. Leveraging AI algorithms to inform data processing controls
  • C. Implementing encryption techniques to protect personal data
  • D. Collecting aggregated data to improve AI model performance
Answer: A
Explanation:
Before any processing, CDPSE stresses lawfulness: identify and document the appropriate legal basis and processing purpose(s). Security controls (C), algorithmic techniques (B), and aggregation (D) are important but secondary to establishing a lawful basis and purpose limitation.
Key CDPSE-aligned phrasing (short extract): "rocessing requires a lawful basis and defined purposes prior to collection/use."

NEW QUESTION # 228
Which of the following provides the BEST assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy?
  • A. Including mandatory compliance language in the request for proposal (RFP)
  • B. Conducting a risk assessment of all candidate vendors
  • C. Obtaining self-attestations from all candidate vendors
  • D. Requiring candidate vendors to provide documentation of privacy processes
Answer: B
Explanation:
Conducting a risk assessment of all candidate vendors is the best way to provide assurance that a potential vendor is able to comply with privacy regulations and the organization's data privacy policy, because it allows the organization to evaluate the vendor's privacy practices, controls, and performance against a set of criteria and standards. A risk assessment can also help to identify any gaps, weaknesses, or threats that may pose a risk to the organization's data privacy objectives and obligations. A risk assessment can be based on various sources of information, such as self-attestations, documentation, audits, or independent verification. A risk assessment can also help to prioritize the vendors based on their level of risk and impact, and to determine the appropriate mitigation or monitoring actions.
Reference:
8 Steps to Manage Vendor Data Privacy Compliance, DocuSign
Supplier Security and Privacy Assurance (SSPA) program, Microsoft Learn

NEW QUESTION # 229
Which of the following should an IT privacy practitioner do FIRST before an organization migrates personal data from an on-premise solution to a cloud-hosted solution?
  • A. Develop and communicate a data security plan.
  • B. Ensure strong encryption is used.
  • C. Perform a privacy impact assessment (PIA).
  • D. Conduct a security risk assessment.
Answer: D

NEW QUESTION # 230
......
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