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

1. You're working with an inexperienced team and this is all their first AI project. You're trying to work on a supervised learning binary classification problem to determine if emails are spam or not.
What is the best approach for this project?

A) Pick a simple algorithm such as naive bayes
B) Pick a neural network algorithm since you know this works well for supervised learning approaches
C) Pick an ensemble method since you're not sure which algorithm will perform best
D) Pick a simple algorithm such as Gaussian mixture

2. Your team is testing the NLP model they just created to make sure it's performing as expected.
Some of your team members want to move this model to production and move to the next iteration.
What's wrong with this workflow?

A) You need to make sure the AI Go/No Go questions have been addressed
B) Nothing is wrong with this workflow. You can move to the next iteration
C) Team members should not be able to move to new projects until senior management signs off
D) Model Evaluation requires continuous model evaluation, retraining, and operationalization

3. You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project.
Which phase best describes the work you are performing?

A) Phase IV
B) Phase VI
C) Phase III
D) Phase II
E) Phase V
F) Phase I

4. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A) Responsible AI
B) Transparent AI
C) Explainable AI
D) Ethical AI
E) Governed AI

5. You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy.
What is your next best course of action to address this?

A) Share prior experiences with how your last team addressed this problem and their data quality issues
B) Help senior management do research on AI vendors
C) Say nothing and let the team figure it out for themselves
D) Share prior experiences with how your last team addressed this problem and how you solved it

Solutions: