A ride-sharing company is deploying an AI model to predict rider demand and surge pricing. The company wants to maximize revenue, but riders are complaining about high prices during peak times. Which set of success criteria best balances revenue generation with rider satisfaction?

Track revenue per ride and the percentage of riders who rate the app 4 or 5 stars

Track only the percentage of riders who rate the app 4 or 5 stars

Track the number of rides completed per day

Which of the following is an example of a technical performance benchmark for an AI model?

A target of 95% accuracy on a test dataset

The name of the project sponsor

The number of stakeholders in the project

The brand of the GPU used for training

Why is it important to align AI success metrics with organizational objectives?

To increase the training dataset size

To make the AI model more complex

To ensure the AI solution contributes to the broader strategic goals of the organization

To reduce the number of stakeholders involved

What does an adoption rate metric for an AI solution typically measure?

The percentage of target users who actively use the solution

The time taken to train the model

A hospital is deploying an AI model to predict patient readmission risk. The clinical staff requires high sensitivity to avoid missing high-risk patients, but the hospital administration is concerned about the cost of interventions for false positives. The model currently achieves 85% sensitivity and 70% precision. The administration insists on a precision of at least 80% to control costs. What is the most appropriate approach to define success criteria?

Set a target of 85% sensitivity as a hard requirement and accept whatever precision is achieved

Set a target of 80% precision as a hard requirement and accept whatever sensitivity is achieved

Set a target of 85% sensitivity and 80% precision, and require the model to be retrained if it falls below either threshold

Define a composite score that balances sensitivity and precision, with a minimum threshold for each

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 2Objective 8

Define Success Criteria (e.g., KPIs, Metrics) PMI-CPMAI Practice Questions (Page 4)

Part of the Identify Business Needs and Solutions domain, which accounts for 26% of the PMI-CPMAI exam. PMI does not publish an official question count, but from its 160-minute exam (~65–105 total, ~17–27 in this domain), expect 2–3 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

5concepts

26%of the exam

Questions 16–20

16expert · hard
A ride-sharing company is deploying an AI model to predict rider demand and surge pricing. The company wants to maximize revenue, but riders are complaining about high prices during peak times. Which set of success criteria best balances revenue generation with rider satisfaction?
Select an answer first
17foundation · easy
Which of the following is an example of a technical performance benchmark for an AI model?
Select an answer first
18foundation · easy
Why is it important to align AI success metrics with organizational objectives?
Select an answer first
19foundation · easy
What does an adoption rate metric for an AI solution typically measure?
Select an answer first
20expert · hard
A hospital is deploying an AI model to predict patient readmission risk. The clinical staff requires high sensitivity to avoid missing high-risk patients, but the hospital administration is concerned about the cost of interventions for false positives. The model currently achieves 85% sensitivity and 70% precision. The administration insists on a precision of at least 80% to control costs. What is the most appropriate approach to define success criteria?
Select an answer first

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