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

1. 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

2. Your team is planning an AI-enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions.
What stage of CPMAI is the team currently working on?

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

3. During CPMAI Phase II of your project, your team is going through their data collection needs.
One team member wants to make use of pre-trained models while another member is adamantly against it.
As the project lead, what should you do?

A) Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those.
B) Evaluate your data and use only what you have and build all models in house.
C) Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.
D) Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.

4. Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

A) Clustering
B) Multiclass Classification
C) Regression
D) Binary (or Binomial) Classification

5. During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules.
What problem describes the issue the project team is facing?

A) Absence of a clear AI go/no-go assessment
B) Failure to identify applicable data regulations early on
C) Inadequate separation of cognitive and noncognitive software
D) Lack of clarity on the project's business objective

Solutions: