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PMI CPMAI Exam Syllabus Topics:

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

1. A finance company is planning an AI project to improve fraud detection. The project manager has identified multiple cognitive patterns that can be used. Which method will narrow the project scope?

A) Rotating through cognitive and non-cognitive patterns sequentially in short iterations
B) Implementing all identified patterns in parallel to test their effectiveness
C) Prioritizing patterns based on their potential impact and complexity
D) Comparing cognitive patterns against noncognitive requirements

2. An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?

A) Use a contractor to do the training portion
B) Train the model on GPUs
C) Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
D) Train the model over multiple desktop computers

3. A team is retraining a model and creating a new version of that model. What's the most important thing for the team to have in place before doing this?

A) Model discovery
B) Data operations
C) Model operations
D) Model Governance

4. A healthcare organization plans to implement an AI system to assist with patient diagnosis. The project manager needs to conduct an ethical risk assessment to ensure the AI system does not propagate bias. What is an effective method that meets the project manager's objective?

A) Using interpretable models for decision-making
B) Implementing fairness-aware algorithms
C) Conducting bias audits during development
D) Ensuring diverse training datasets

5. A logistics company is operationalizing an AI system to improve delivery times. The project team needs to identify performance constraints that may impact the AI solution. Which method should the project manager use to meet the team's objective?

A) Benchmarking against competitors
B) Training employees on AI ethics
C) Conducting a preliminary feasibility study
D) Implementing advanced data visualization tools

Solutions: