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

1. You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

A) Find a project that requires 100% accuracy in the results and start with that one.
B) Ask key stakeholders from all groups for input about their pain points.
C) Go through all possible scenarios to come up with the perfect first project.
D) Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.

2. Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned.
What would likely have helped avoid this conflict?

A) Nothing - running automation projects like autonomous projects is the correct thing to do.
B) Everyone on the team should understand the differences between automation and autonomous systems.
C) Senior management should become involved in the project.
D) Applying a hybrid approach of automation and AI best practices would have achieved better results.

3. As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

A) You're too small of an organization to be worried about laws at the moment
B) Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
C) Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
D) Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States

4. During which phase of an AI project should you consider Trustworthy AI considerations?

A) Every Phase of the AI project
B) Phase I: Business Understanding
C) Phase VI: Model Operationalization
D) Phase II: Data Understanding

5. Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same.
What is most likely happening here?

A) Data privacy issues leading to data sharing concerns
B) Generative AI models hallucinating data results
C) Biased data sets leading to algorithmic discrimination
D) Nothing is wrong, algorithmic decisions will never be 100%

Solutions: