Describe Privacy Regulations and Ethics DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A data science team builds a predictive model using historical hiring data that contains biases against certain demographic groups. The model is used to screen job applicants. Which ethical concern is most directly raised by this scenario?

   • ATransparency
   • BData minimization
   • CData security
   • DBias and fairness
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A healthcare provider is implementing a new data analytics platform to improve patient outcomes. The platform will process sensitive patient data, including health records. The provider is subject to GDPR and wants to ensure compliance. What is the most important step to take?

   • AObtain consent from all patients before processing their data.
   • BConduct a Data Protection Impact Assessment (DPIA) to identify and mitigate privacy risks.
   • CStore all patient data in a secure data center within the EU.
   • DEncrypt all patient data in the platform to ensure it is secure.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   A company informs data subjects, in clear and plain language, about what personal data it collects and how it will be used. Which data processing principle is being fulfilled?

   • ALawfulness, fairness, and transparency
   • BAccuracy
   • CIntegrity and confidentiality
   • DData minimization
   Reveal Solution Discussion Select an answer first
5. 19expert · hard

   A non-profit organization collects data on vulnerable populations to provide social services. The organization wants to share this data with a research university to study the effectiveness of its programs. The data includes sensitive information such as income, health status, and family situation. What is the most important ethical and compliance consideration?

   • AEnsure that the data is shared in a way that respects the privacy and dignity of the vulnerable populations.
   • BAnonymize the data before sharing it to eliminate any privacy concerns.
   • CShare the data without any restrictions to facilitate the research.
   • DObtain consent from the research university before sharing the data.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A multinational retail company operates an e-commerce platform serving customers in the European Union and California. The data engineering team is designing a centralized big data lake that will ingest clickstream data from all global users. The compliance officer requires that the platform honor user requests to delete their browsing history. Which combination of actions should the data engineering team take to meet this requirement?

   • ATag each clickstream record with the user's jurisdiction and build a deletion pipeline that removes records associated with a verified erasure request.
   • BStore all clickstream data in a separate data lake located in the user's country of residence to avoid cross-border transfer restrictions.
   • CAnonymize all clickstream data at ingestion so that no individual user can be identified, thereby making deletion requests unnecessary.
   • DImplement a data retention policy that purges all clickstream records after 30 days and disable user-facing deletion requests.
   Reveal Solution Discussion Select an answer first