
PMICertified Professional in Managing AI (PMI-CPMAI)
Domain 1Objective 2
Manage AI/ML Transparency (e.g., Data Selection, Algorithm Selection) PMI-CPMAI Practice Questions (Page 7)
Part of the Support Responsible and Trustworthy AI Efforts domain, which accounts for 15% of the PMI-CPMAI exam. PMI does not publish an official question count, but from its 160-minute exam (~65–105 total, ~10–16 in this domain), expect 2–3 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)
34questions here
7free pages
9concepts
15%of the exam
Questions 31–34
- 31
A city government is building a model to predict traffic congestion. The data comes from traffic sensors, GPS data from a ride-sharing company, and historical weather data. The city must publish a transparency report for the public. What is the MOST important information to include about the GPS data from the ride-sharing company?
Select an answer first - 32
When documenting the criteria used to select an AI/ML model, which of the following should be included to ensure transparency?
Select an answer first - 33
A bank is deploying a machine learning model to approve or deny small business loans. The stakeholders include loan officers who need to explain decisions to applicants, internal model risk auditors who need to verify the model is sound, and applicants who need to understand why they were denied. The bank must define explainability requirements for each group. What is the MOST appropriate requirement for the loan officers?
Select an answer first - 34
Which of the following best describes the purpose of recording the rationale behind model selection decisions?
Select an answer first
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