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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q217-Q222):

NEW QUESTION # 217
An online retail company is trying to determine how to handle users' data if they unsubscribe from marketing emails generated from the website. Which of the following is the BEST approach for handling personal data that has been restricted?

Answer: C

Explanation:
The best approach for handling personal data that has been restricted is to flag users' email addresses to make sure they do not receive promotional information, because this will respect the users' preferences and rights to opt out of marketing communications. This will also help the company comply with the data protection laws and regulations that require consent and transparency for sending marketing emails, such as the General Data Protection Regulation (GDPR) and the CAN-SPAM Act12. The other options are not appropriate or sufficient for handling restricted data, because they may violate the users' rights, expectations, or agreements, or cause operational issues for the company.
Reference:
CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.1 - Data Classification3.
CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3 - Data Lifecycle, Section 3.2 - Data Classification4.


NEW QUESTION # 218
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?

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 # 219
Which of the following is MOST likely to present a valid use case for keeping a customer's personal data after contract termination?

Answer: B

Explanation:
Data retention is a process of keeping personal data for a specified period of time for legitimate purposes, such as legal obligations, contractual agreements, business operations or historical records. Data retention should be based on the principle of data minimization, which requires limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes. Data retention should also comply with the principle of storage limitation, which requires deleting or disposing of personal data when it is no longer needed or justified. The most likely valid use case for keeping a customer's personal data after contract termination is a required retention period due to regulations, such as tax laws, financial laws, health laws or consumer protection laws, that mandate the organization to retain certain types of customer data for a certain period of time after the end of the contractual relationship. The other options are not valid use cases for keeping a customer's personal data after contract termination, as they do not meet the criteria of necessity, relevance or justification. For the purpose of medical research, the organization would need to obtain the consent of the customer or have another legal basis for processing their personal data for a different purpose than the original contract. A forthcoming campaign to win back customers or ease of onboarding when the customer returns are not legitimate purposes for retaining customer data after contract termination, as they are not related to the original contract and may violate the customer's privacy rights and preferences. , p. 99-100 Reference: : CDPSE Review Manual (Digital Version)


NEW QUESTION # 220
Which of the following should be done FIRST to address privacy risk when migrating customer relationship management (CRM) data to a new system?

Answer: B

Explanation:
Explanation
A privacy impact assessment (PIA) is a systematic process to identify and evaluate the potential privacy impacts of a system, project, program or initiative that involves the collection, use, disclosure or retention of personal data. A PIA should be done first to address privacy risk when migrating customer relationship management (CRM) data to a new system, as it would help to ensure that privacy risks are identified and mitigated before the migration is executed. A PIA would also help to ensure compliance with privacy principles, laws and regulations, and alignment with customer expectations and preferences. The other options are not as important as performing a PIA when addressing privacy risk when migrating CRM data to a new system. Developing a data migration plan is a process of defining and documenting the objectives, scope, approach, methods and steps for transferring data from one system to another, but it does not necessarily address privacy risk or impact. Conducting a legitimate interest analysis (LIA) is a process of assessing whether there is a legitimate interest for processing personal data that outweighs the rights and interests of the data subjects, but it is only applicable in certain jurisdictions and situations where legitimate interest is a valid legal basis for processing. Obtaining consent from data subjects is a process of obtaining their permission or agreement before collecting, using, disclosing or transferring their personal data for specific purposes, but it may not be required or sufficient for migrating CRM data to a new system, depending on the context and nature of the migration and the applicable laws and regulations1, p. 67 References: 1: CDPSE Review Manual (Digital Version)


NEW QUESTION # 221
Which of the following is the BEST indication of an effective records management program for personal data?

Answer: B

Explanation:
Explanation
A retention schedule is a document that specifies how long different types of records or data should be kept and when they should be deleted or disposed of, based on legal, regulatory, operational or historical requirements. A retention schedule is the best indication of an effective records management program for personal data, as it reflects the principles of data minimization and storage limitation, which require limiting the collection, storage and processing of personal data to what is necessary and relevant for the intended purposes, and deleting or disposing of personal data when it is no longer needed or justified. A retention schedule also helps to reduce the privacy risks and costs associated with data storage and retention, such as data breaches, unauthorized access, misuse or loss of data. The other options are not as indicative of an effective records management program for personal data as a retention schedule. Archived data is used for future analytics may indicate that the organization is leveraging its data assets for business intelligence or research purposes, but it may not comply with the principles of data minimization and storage limitation, or the privacy rights and preferences of the data subjects. The legal department has approved the retention policy may indicate that the organization has obtained legal advice or guidance on its records management program for personal data, but it may not reflect the actual implementation or execution of the retention policy. All sensitive data has been tagged may indicate that the organization has implemented a data classification scheme for its records or data, but it may not indicate how long the records or data should be kept or when they should be deleted or disposed of1, p. 99-100 References: 1: CDPSE Review Manual (Digital Version)


NEW QUESTION # 222
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