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PMI CPMAI Exam Syllabus Topics:

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

1. In the finance sector, a company is implementing an AI system for credit risk assessment. The project manager needs to identify the data subject matter experts (SMEs) who can help to ensure the accuracy and reliability of the model. What is an effective method to achieve this objective?

A) Focus on SMEs with experience in noncognitive solutions.
B) Engage with internal data analysts and financial experts.
C) Select SMEs based on their availability rather than expertise.
D) Rely on general IT staff for data and financial expertise.

2. A transportation company is preparing data for an AI model to optimize fleet management. The project team is working with large amounts of structured and unstructured data. If the project manager avoids addressing the variety of data during preparation, what will be the result?

A) Reduced model performance
B) Improved model accuracy
C) Decreased data processing speed
D) Increased data consistency

3. A government agency is operationalizing an AI system to optimize urban traffic flow that changes unexpectedly. The project manager needs to gather the required data from traffic cameras, sensors, and historical traffic patterns. What is an effective technique to meet the project manager's goals?

A) Developing a probabilistic graphical model to infer latent traffic scenarios
B) Applying dimensionality reduction to manage the complexity of traffic sensor data
C) Utilizing data augmentation to increase the diversity of traffic scenarios
D) Implementing real-time data synchronization to ensure up-to-date traffic analysis

4. A project manager is considering the feasibility of an AI solution for a project aimed at improving customer service response times. They need to decide whether the project requirements can be solved with existing technologies or whether AI is the best approach. Which principle do the project manager's activities represent?

A) Determining automation potential
B) Identifying ethical concerns
C) Evaluating cognitive alternatives
D) Assessing scalability requirements

5. A government project plans to implement an AI-based fraud detection system and the project team needs to define the success criteria. They identified potential improvements in detection accuracy, reduction in investigation time, and cost savings as key performance indicators (KPIs).
However, they are unsure how to effectively quantify these KPIs. Which two approaches should be used? (Choose two.)

A) Rely on only qualitative feedback from stakeholders.
B) Implement a continuous performance monitoring system.
C) Establish a baseline using historical data comparisons.
D) Set fixed performance targets based on theoretical models.
E) Use random benchmarks without industry comparison.

Solutions: