Which of the following is the MOST important consideration when processing personal data for an AI project?
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): ''Processing requires a lawful basis and defined purposes prior to collection/use.''
Which of the following solutions would BEST enable a privacy practitioner to support control over data processing activities related to personal information?
A consent management platform (CMP) directly supports control over personal data processing by tracking and enforcing individuals' consent preferences across systems. SIEM (A) monitors security events, ERP (C) supports operations, and DLP (D) protects against data leakage but does not manage lawful basis for processing.
''Consent management tools ensure personal data is processed only in line with valid consent or lawful basis.''
Which of the following BEST represents privacy threat modeling methodology?
Privacy threat modeling is a methodology for identifying and mitigating privacy threats in a software architecture. It helps to ensure that privacy is considered in the design and development of software systems, and that privacy risks are minimized or eliminated. Privacy threat modeling typically involves the following steps: defining the scope and context of the system, identifying the data flows and data elements, identifying the privacy threats and their sources, assessing the impact and likelihood of the threats, and applying appropriate countermeasures to mitigate the threats.Reference:: CDPSE Review Manual (Digital Version), page 97
Which of the following is the MOST effective use of data flow diagrams when implementing a data privacy compliance program?
Data flow diagrams (DFDs) are most valuable for illustrating the locations and movements of personal data across systems and processes, which is essential for compliance mapping and controls. Mapping at rest (C) or transit (D) are subsets of this broader view, while (A) is vague.
''DFDs identify where personal data resides and flows, supporting compliance and risk management.''
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?
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.
What exactly is 'profiling' under the GDPR - DMA
Can I be subject to automated individual decision-making, including profiling - European Commission
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