PMI CPMAI valid study dumps : Cognitive Project Management in AI (PMI-CPMAI)

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PMI CPMAI Exam Syllabus Topics:

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

1. A project manager is evaluating an AI model's performance to determine its business impact. The model has shown high accuracy during testing but has not been implemented yet in a live environment. The project manager needs to decide what to assess to ensure the model's effectiveness. What should the project manager do?

A) Conduct a cost-benefit analysis of the model's implementation.
B) Evaluate the ethical implications of operationalizing the model.
C) Check if the training data represents real-world scenarios.
D) Determine the scalability for future expansions.

2. A machine learning model shows excellent performance on training data but significantly worse results on validation datasets. The team suspects the model memorizes patterns rather than generalizing effectively. Which technique should be applied to address this issue?

A) Increase model complexity
B) Increase training epochs indefinitely
C) Remove validation data
D) Use cross-validation techniques

3. In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

A) Provide a means to have a different team on the project
B) Provide a means to reverse-engineer the algorithm to inspect its performance
C) Provide a means to have contestability of the algorithm selected
D) Provide a means to interpret AI results so that cause and effect can be represented

4. An IT services company project manager is creating an AI project scope statement. They need to include details on the environments, devices, and personnel that will use the AI solution. What should the project manager do?

A) Gain stakeholder buy-in to proceed with the project.
B) Develop a comprehensive usage scenario analysis.
C) Perform a detailed technical requirements audit for the scope statement.
D) Create an AI efficacy program to complete the scope statement.

5. A team is evaluating different AI models for their project. They are considering error rates and overall performance. If the team had selected a model based solely on the error rate, what would be the outcome?

A) A potential to overlook other critical performance metrics
B) A balanced performance across all metrics
C) An increase in stakeholder satisfaction based on performance
D) A better performance across the chosen domains

Solutions: