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PMI CPMAI Exam Syllabus Topics:

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions. What is the best approach for handling this project?

A) Run it as one project, combining teams, data requirements, and project needs
B) Run each pattern in isolation, with separate teams
C) Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
D) Run it as a hybrid approach and some phases are run separately while other phases are combined together

2. A consulting firm is determining the feasibility of an AI project. They need to justify the use of AI over noncognitive solutions. The project manager has listed potential noncognitive alternatives.
What is an effective method to support an AI approach?

A) Focusing on the novelty and technological AI appeal
B) Conducting a cost-benefit analysis comparing AI and noncognitive solutions
C) Emphasizing the simplicity and reliability of noncognitive solutions
D) Relying only on industry trends favoring AI adoption

3. During CPMAI Phase II of your project, your team is going through their data collection needs.
One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

A) Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those
B) Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.
C) Evaluate your data and use only what you have and build all models in house.
D) Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.

4. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?

A) Applying predictive data algorithms
B) Enhancing with data augmentation techniques
C) Implementing an AI data needs assessment
D) Performing systematic data validation

5. An aerospace company is integrating AI into their manufacturing process to enhance safety and efficiency. The project team needs to evaluate potential security threats to prevent unauthorized access to sensitive data. What is the highest risk?

A) Employing a proprietary software with no open-source review
B) Operationalizing a decentralized data storage system
C) Secure APIs and data flows by enforcing data governance
D) Implementing an AI model without regular data updates

Solutions: