Data Analytics (Aggregation, AI, Data Warehouse) CDPSE Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which component of a data warehouse architecture is responsible for storing the actual data?

   • AThe data warehouse database
   • BThe reporting front-end
   • CThe metadata repository
   • DThe ETL tool
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which practice is part of responsible AI governance?

   • AAllowing AI systems to operate without human oversight
   • BUsing only proprietary algorithms without external review
   • CDocumenting the purpose, data sources, and decision-making logic of AI systems
   • DDeleting all audit logs to protect privacy
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A financial institution is developing a machine learning model to detect fraudulent transactions. The training data includes customer transaction histories, account balances, and demographic information. The privacy team is asked to ensure the model does not inadvertently discriminate against certain customer groups. Which approach should the privacy team recommend?

   • AConduct a bias audit on the model's predictions across protected attributes.
   • BRemove all demographic fields from the training data.
   • CEncrypt the training data at rest.
   • DIncrease the volume of training data to improve accuracy.
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   What is machine learning in the context of AI?

   • AA hardware component that accelerates data processing
   • BA programming language used to build AI applications
   • CA type of database that stores large volumes of structured data
   • DA subset of AI where systems learn patterns from data to make predictions or decisions
   Reveal Solution Discussion Select an answer first
6. 15expert · medium

   A social media company uses AI to moderate content. The AI model was trained on user posts, which include personal data. The company is facing criticism that the model may inadvertently censor certain groups. The privacy team must address both privacy and fairness concerns. Which action is most effective?

   • ADelete all training data and retrain the model on synthetic data.
   • BIncrease the model's sensitivity to detect more content.
   • CMake the model's decisions final without human review.
   • DConduct a fairness and bias audit on the model's decisions across different demographic groups.
   Reveal Solution Discussion Select an answer first