Oversee Model Governance PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the primary purpose of drift detection in a production AI system?

   • ATo identify when the statistical properties of input data or model predictions change over time
   • BTo automatically retrain the model on new data
   • CTo document the model's training process
   • DTo ensure the model is deployed in the correct environment
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   What is the primary purpose of defining a retraining schedule for an AI model?

   • ATo increase the complexity of the model
   • BTo eliminate the need for model monitoring
   • CTo reduce the cost of model training
   • DTo ensure the model remains accurate and relevant as new data becomes available
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which of the following is an example of a regulatory requirement that may impact AI model governance?

   • AThe model's inference speed
   • BThe availability of cloud computing resources
   • CThe team's preference for using a specific programming language
   • DData protection regulations such as GDPR
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the primary goal of model update coordination?

   • ATo automatically deploy any new model version as soon as it is trained
   • BTo plan and schedule model updates to minimize disruption while ensuring timely improvements
   • CTo train models on the most recent data available
   • DTo prevent any changes to models in production
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   An insurance company has a governance policy stating that only the model owner can approve a production deployment, and all changes must be logged. The team uses a shared model registry. A data scientist accidentally deploys a new model version directly to production without approval. What control would have prevented this?

   • AA read-only registry that prevents any user from modifying or deploying models.
   • BA monitoring dashboard that shows who deployed which model version after the fact.
   • CA role-based access control (RBAC) policy that grants deployment permission only to the model owner's role.
   • DA naming convention that requires model versions to include the word 'approved'.
   Reveal Solution Discussion Select an answer first