Data Analytics (Aggregation, AI, Data Warehouse) CDPSE Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A data analytics team aggregates customer feedback from multiple channels (surveys, social media, support tickets) to identify common issues. The team wants to share the aggregated insights with product managers. Which control would best protect individual privacy while still allowing useful insights?

   • ARemove all feedback that contains any personal data.
   • BShare the raw feedback with product managers under a non-disclosure agreement.
   • CUse k-anonymity to ensure each combination of quasi-identifiers appears at least k times.
   • DAggregate the feedback into a single summary statistic without any breakdown.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   Which best practice helps mitigate privacy risks when aggregating data from multiple sources?

   • AGranting all analysts full access to raw data
   • BApplying data minimization principles to collect only necessary data
   • CStoring all aggregated data in a single database
   • DUsing the same encryption key for all data sources
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which aggregation technique would be most appropriate to find the most frequently occurring product category in a sales dataset?

   • AMedian
   • BMean
   • CStandard deviation
   • DMode
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5. 29foundation · easy

   Which of the following is a key data requirement for training a machine learning model?

   • AData that is encrypted and inaccessible to the model
   • BA small, curated dataset with only a few examples
   • CData that is stored only in a data warehouse
   • DA large, representative dataset that reflects the problem domain
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A retail company aggregates customer purchase data from its loyalty program, web analytics, and in-store transactions to build a unified customer profile. The privacy team is concerned about the risk of inferring sensitive attributes, such as health conditions, from purchasing patterns. Which practice would best reduce this inference risk while preserving the analytical value of the aggregated data?

   • ARequire data sharing agreements with all data providers.
   • BStore the aggregated data in a separate database from the source systems.
   • CRemove all purchase categories that could be considered sensitive.
   • DApply differential privacy by adding calibrated noise to query results.
   Reveal Solution Discussion Select an answer first