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

1. 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) Verify data quality and stakeholder alignment
C) Focus solely on technology upgrades, not data
D) Proceed with development despite data issues

2. You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results.
What's your best course of action?

A) Keep going as planned and the problem will eventually correct itself
B) Try to get additional data - at least 5 training examples for each dimension in the representation
C) Try to get additional information from project lead to see how many examples per dimension are needed
D) Try to improve the quality of your data through more preparation

3. 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 over multiple desktop computers
C) Train the model on GPUs
D) Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer

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

5. You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited data set to work with.
Which algorithm is the best choice given these constraints?

A) Naive Bayes
B) Neural Networks
C) Generative AI
D) Ensemble models

Solutions: