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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 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

2. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?

A) All would work equally well
B) Unsupervised Learning
C) Reinforcement Learning
D) Supervised Learning

3. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The location/source of your data collection
B) The volume of the data you collect
C) The quality of the data you collect
D) The makeup of your data team

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

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

Solutions: