5.3 Explain AI Workflow Design and Monitoring Principles AI-TECHNICAL-PRACTITIONER Practice Questions (Page 6)

Questions 26–27

1. 26application · medium

   A ride-sharing company uses an AI model to predict demand and dispatch drivers. They want to continuously improve the model based on real-world outcomes. Which approach best implements a feedback loop?

   • AUse a larger training dataset from public sources to retrain the model.
   • BManually review model predictions each week and adjust the model parameters by hand.
   • CCollect data on actual trip requests and driver assignments, then use this data to retrain the model periodically.
   • DFreeze the model after deployment to ensure consistent behavior.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   Which monitoring activity is specifically used to detect when the statistical properties of the input data change over time in a production AI system?

   • AReviewing deployment logs
   • BMonitoring data drift
   • CTracking model performance metrics
   • DChecking system health
   Reveal Solution Discussion Select an answer first