Data Analytics (Aggregation, AI, Data Warehouse) CDPSE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which scenario demonstrates an inference privacy risk from aggregation?

   • AAn analyst uses aggregated health data to deduce that a specific individual has a rare disease
   • BA company uses aggregated data to identify overall market trends
   • CA company stores aggregated sales data in an encrypted database
   • DAn analyst deletes personally identifiable information from a dataset
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2. 7foundation · easy

   Which characteristic is typical of a data warehouse?

   • AIt is designed for high-speed transaction processing
   • BIt stores only current, real-time data
   • CIt is optimized for frequent updates and deletes
   • DIt is subject-oriented and stores integrated data from multiple sources
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4. 8foundation · easy

   What is a primary privacy challenge when using AI to process personal data?

   • AAI models may inadvertently memorize and expose personal information from training data
   • BAI models automatically anonymize all personal data
   • CAI models cannot be used with encrypted data
   • DAI models always require more storage space than traditional databases
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5. 9foundation · easy

   What is a best practice for protecting sensitive data in a data warehouse?

   • AKeeping audit logs only for a short period to reduce storage
   • BImplementing role-based access control to limit data access to authorized users
   • CGranting all users full access to all data for convenience
   • DStoring sensitive data without any masking or anonymization
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6. 10expert · medium

   A government agency aggregates census data with tax records to produce statistical reports. The agency must balance the need for detailed geographic data with the risk of re-identification. The reports are used for policy planning. Which approach best balances utility and privacy?

   • APublish the data at the highest geographic granularity available.
   • BLimit access to the reports to a small group of analysts.
   • CRemove all tax-related fields from the reports.
   • DApply differential privacy to the statistical outputs with a carefully calibrated privacy budget.
   Reveal Solution Discussion Select an answer first