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PMI Certified Professional in Managing AI certification (PMI CPMAI) - PMI Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
144 Total Questions
1
Question
After completing an AI project, the project manager begins preparing the final report and reflecting on lessons learned. They identified that the project team lacked sufficient AI and data knowledge.
If adequate knowledge was available, how would the result be different?
Options
A The AI model would have achieved higher accuracy rates.
B The AI project team would have required less external consultation.
C The AI project timeline would have been shorter.
D The AI project would have faced fewer governance issues.
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2
Question
A project team is overseeing the data evaluation for an AI model predicting customer churn. They observed that the model's predictions are biased toward a particular class.

What is an effective technique to mitigate this bias?
Options
A Increasing the batch size
B Adjusting the hyperparameters
C Implementing stratified sampling
D Using synthetic data generation
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3
Question
A government agency is operationalizing a new AI tool for predictive policing. The project manager needs to identify data subject matter experts (SMEs) to ensure data quality and relevance. The project team has access to historical crime data, socioeconomic data, and real-time incident reports.

Which method will help in determining the data SMEs for this project?
Options
A Evaluating the team's familiarity with historical crime and socioeconomic data
B Reviewing certifications in advanced data analytics and machine learning
C Identifying individuals who have worked on similar AI tools in policing
D Conducting workshops to assess knowledge in real-time incident data processing
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4
Question
A manufacturing company is implementing an AI system to optimize production schedules. The project manager needs to gather the required data from machine sensors, production logs, and supply chain databases. During data collection, they notice discrepancies in machine sensor data.

What should the project manager do first?
Options
A Replace machine sensors for real-time data accuracy.
B Implement a robust data validation and correction process.
C Outsource data preprocessing to an external vendor.
D Develop a data integration framework to harmonize formats.
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5
Question
A manufacturing company is considering implementing an AI solution to optimize its supply chain. The project manager needs to determine if AI is necessary for this task.

Which action will address the requirements?
Options
A Assessing the cost-benefit ratio of an AI implementation for the supply chain
B Identifying noncognitive versus AI methods used in supply chain management
C Evaluating the scalability of AI solutions for supply chain optimization
D Determining the specific cognitive tasks that AI can perform within the supply chain
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