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

1. Your team is working on an AI system to provide a more personalized experience for customers on your website. What should the team do in regard to determining the pattern of AI with regards to the ROI of the project?

A) First identify the AI pattern you want to use and then figure out the ROI
B) First determine the pattern of AI you want to use and then work with stakeholders to come up with ROI
C) First identify the objective you're trying to solve or the ROI you desire and then use that to figure out the correct pattern
D) First talk to senior managers who set the ROI of the project

2. A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of the project duration. Based on her experience with three similar projects, the project manager provides an estimate of 8-10 months.
What's wrong with this timeframe?

A) It's underestimating the project timeline by 3 months
B) It's not accounting for potential project delays
C) It's not accounting for data preparation timelines
D) It fits into a waterfall timeframe, but not an agile project timeframe

3. An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient.
Which action should occur?

A) Launch the AI project without further assessment
B) Focus solely on technology upgrades, not data
C) Verify data quality and stakeholder alignment
D) Proceed with development despite data issues

4. During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A) Model Selection
B) Algorithm Selection
C) Model tuning
D) Model training

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

Solutions: