Oversee Model Governance PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A weather-forecasting model is retrained monthly, but its accuracy degrades noticeably within a week of a major weather pattern shift. The model owner wants to balance accuracy with the cost of frequent retraining. What is the most appropriate retraining strategy?

   • AKeep the monthly schedule and accept the accuracy drop as an unavoidable operational cost.
   • BRetrain only when a new weather season begins, since major shifts are seasonal.
   • CUse a performance-triggered retraining policy that retrains when drift or accuracy falls below a defined threshold, with a minimum interval between retrains.
   • DRetrain the model daily to ensure it always captures the latest weather patterns.
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2. 12foundation · easy

   What is the primary purpose of ensuring governance compliance in AI model management?

   • ATo align model governance practices with organizational policies, regulatory requirements, and ethical standards
   • BTo reduce the cost of model development
   • CTo maximize the accuracy of the model
   • DTo speed up the deployment of models
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4. 13expert · hard

   A financial services firm has a model governance board that approves all production changes. A critical model needs an urgent fix because a data pipeline error has corrupted its input features, causing incorrect outputs. The fix requires retraining and deploying a new version within hours. The board's next scheduled meeting is in two weeks. What is the best approach?

   • ARoll back to the previous model version and wait for the board to approve the retrained model.
   • BDeploy the fix immediately without approval, then document it after the fact.
   • CInvoke an emergency change process that allows a designated approver to authorize the fix, with a post-incident review by the board.
   • DWait for the next board meeting to approve the fix, keeping the corrupted model in production until then.
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5. 14foundation · easy

   What is the primary purpose of setting up model performance monitoring in production?

   • ATo replace the need for model validation
   • BTo continuously track key performance indicators such as accuracy and latency
   • CTo automatically retrain the model when performance degrades
   • DTo document the model's development process
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6. 15application · medium

   A multinational company deploys a hiring model that must comply with the EU AI Act's requirements for transparency and human oversight. The model is used to shortlist candidates. Which governance practice is most directly required to meet this regulation?

   • AUsing a more complex model architecture to improve accuracy on the shortlisting task.
   • BRetraining the model monthly to ensure it uses the most recent candidate data.
   • CDocumenting the model's purpose, data sources, and decision logic, and ensuring a human can review and override its shortlisting decisions.
   • DStoring all candidate data in the EU region to comply with data residency laws.
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