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EC-CouncilCertified Responsible AI Governance and Ethics

Domain 5Objective 3

Data Privacy CRAGE Practice Questions (Page 6)

Part of the AI Security Architecture, Privacy, and Trust domain, which makes up ~19% of our current practice bank.

54questions here
11free pages
10concepts

Questions 26–30

  1. 26expert · hard

    A consortium of hospitals wants to collaboratively train a model to detect rare diseases without sharing patient data. They are considering federated learning and homomorphic encryption. Which statement accurately describes the trade-off between these two technologies?

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  2. 27expert · hard

    A data analytics company wants to sell a dataset of customer purchase histories to a third-party marketing firm. The dataset includes names, addresses, and purchase details. The company plans to pseudonymize the data by replacing names with unique IDs. The marketing firm wants to use the data to create targeted ads. The company's privacy officer is concerned about re-identification. Which additional measure would most effectively reduce re-identification risk?

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  3. 28foundation · easy

    How can an AI system support the data subject right to data portability?

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  4. 29expert · hard

    A multinational corporation transfers employee data from its EU headquarters to a subsidiary in a country that has not been deemed adequate by the European Commission. The company has implemented standard contractual clauses (SCCs) and additional safeguards, including encryption and pseudonymization. The data protection authority (DPA) questions the effectiveness of the safeguards. What is the most appropriate response?

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  5. 30application · medium

    A fintech startup is building a credit-scoring AI. The product manager wants to collect as much data as possible to improve accuracy. The legal team insists on privacy by design. Which approach best balances accuracy with privacy by design principles?

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