A model's accuracy on the test set is 92%, but the predefined success criterion requires at least 95% accuracy. What is the appropriate conclusion for the go/no-go decision?

The success criteria should be adjusted to 92% to allow deployment

The model has not met the success criteria and should not be approved for deployment without further investigation

The model is ready for deployment because 92% accuracy is generally acceptable

The model should be deployed but monitored closely for accuracy drops

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 4Objective 6

Verify Model Ready for Operationalization Go/no-Go Decision PMI-CPMAI Practice Questions (Page 5)

Part of the Manage AI Model Development and Evaluation domain, which accounts for 16% of the PMI-CPMAI exam. PMI does not publish an official question count, but from its 160-minute exam (~65–105 total, ~10–17 in this domain), expect 2–3 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

7concepts

16%of the exam

Questions 21–21

21foundation · easy
A model's accuracy on the test set is 92%, but the predefined success criterion requires at least 95% accuracy. What is the appropriate conclusion for the go/no-go decision?
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Verify Model Ready for Operationalization Go/no-Go Decision PMI-CPMAI Practice Questions (Page 5)

Questions 21–21

A model's accuracy on the test set is 92%, but the predefined success criterion requires at least 95% accuracy. What is the appropriate conclusion for the go/no-go decision?

Keep studying — Manage AI Model Development and Evaluation