Sustaining AI Transformation and Continuous Improvement CAIPM Practice Questions (Page 11)

Questions 51–55

1. 51foundation · easy

   Why is model versioning important in the AI lifecycle?

   • AIt reduces the need for monitoring
   • BIt automatically improves model accuracy
   • CIt guarantees the model will never need retraining
   • DIt enables tracking changes, rolling back to previous versions, and ensuring reproducibility
   Reveal Solution Discussion Select an answer first
2. 52foundation · easy

   What is a primary purpose of an audit trail in an AI governance framework?

   • ATo automatically improve model performance
   • BTo replace the need for human oversight
   • CTo store only successful outcomes
   • DTo provide a documented history of decisions and actions for accountability and compliance
   Reveal Solution Discussion Select an answer first
4. 53expert · hard

   A hospital uses an AI model to predict patient readmission risk. The model was trained on data from the past three years. Recently, the hospital changed its discharge procedures, which altered the patient data distribution. The model's performance has declined, but the hospital is subject to strict audit requirements. The data science team proposes retraining the model immediately. What is the best course of action?

   • AKeep the current model and manually review all predictions until the next scheduled retraining
   • BInvestigate the data drift and validate the new data before retraining
   • CRetrain the model with the most recent data and document the change for the audit trail
   • DRoll back to an older model version that was trained before the procedure change
   Reveal Solution Discussion Select an answer first
5. 54foundation · easy

   Which type of metric is most appropriate for evaluating the business impact of an AI system?

   • AThe time taken to train the model
   • BThe number of features in the model
   • CModel accuracy on the training dataset
   • DA KPI such as cost savings or revenue increase attributable to the AI system
   Reveal Solution Discussion Select an answer first
6. 55foundation · easy

   What is a key principle for maintaining AI initiatives over the long term?

   • AKeeping the original business case unchanged
   • BEngaging stakeholders regularly to ensure the AI solution continues to meet their needs
   • CReducing stakeholder communication to minimize distractions
   • DFocusing only on technical maintenance
   Reveal Solution Discussion Select an answer first