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

1. Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:

A) Decide if it's probabilistic or deterministic patterns. If it's deterministic then go with the AI project.
B) Decide if it's probabilistic or deterministic patterns. If it's probabilistic then go with the AI project.
C) See if simple rules work. If yes, then pick the right AI solution to solve the problem.
D) Decide if it's a statistics pattern. If it's statistical then go with the AI project.

2. Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However your team doesn't have access to all the data it needs.
What's the best course of action?

A) Do not move forward until you have access to all the data you need.
B) Cautiously move forward knowing you may need to pause mid-project which is ok.
C) Move ahead as planned so you stay on time with your project.
D) Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.

3. Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind.
At what phase of CPMAI would Trustworthy AI be considered?

A) Phase V
B) None of the phases
C) Phase IV
D) Phase I
E) All phases
F) Phase III
G) Phase VI
H) Phase II

4. A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.
What's the next best course of action?

A) Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices
B) Hire an entirely new team making sure there is at least one data scientist on this new team
C) Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
D) Bring in data centric methodology best practices to get this project back on track

5. Using machine learning and other cognitive approaches to understand how to take past/existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior/interactions/data is a core part to which pattern(s) of AI?

A) Predictive Analytics & Decision Support and Patterns and Anomalies
B) Recognition Pattern
C) Predictive Analytics & Decision Support
D) Goal Driven Systems

Solutions: