Verify Model Ready for Operationalization Go/no-Go Decision PMI-CPMAI Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is a key component of an operational procedure review?

   • AA rollback plan in case the model performs poorly in production
   • BThe number of GPUs used during training
   • CThe color of the model's output charts
   • DThe model's training data size
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   During the go/no-go review for a credit-scoring model, the operations team discovers that the model documentation does not specify the exact input features, their data types, or the expected value ranges. The model is performing well on the test set. What is the most appropriate action?

   • AAsk the operations team to infer the input specifications from the training code.
   • BApprove the model but require the documentation to be completed within the first month of production.
   • CIssue a no-go decision until the documentation is completed and validated for accuracy and completeness.
   • DApprove the model for deployment because the performance metrics are strong and documentation is a secondary concern.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   What is the primary purpose of validating model documentation during the go/no-go review?

   • ATo replace the need for a monitoring plan
   • BTo prove the model was trained on a specific dataset
   • CTo make the documentation visually appealing for stakeholders
   • DTo ensure the documentation is complete, accurate, and sufficient for operations
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   During the deployment infrastructure review, which of the following is a key consideration?

   • AThe amount of compute, storage, and network resources required
   • BThe color scheme of the model's monitoring dashboard
   • CThe model's training algorithm choice
   • DThe number of data scientists on the team
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   What does it mean for a model to 'generalize well'?

   • AThe model performs perfectly on the training data
   • BThe model performs well on new, unseen data
   • CThe model produces the same output for all inputs
   • DThe model can be deployed on any hardware without modification
   Reveal Solution Discussion Select an answer first