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PMI CPMAI Exam Syllabus Topics:

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

1. A company plans to operationalize an AI solution. The project manager needs to ensure model performance is meeting selected thresholds before release. What is an effective way to confirm these thresholds before this release?

A) Testing against validation datasets
B) Running multiple end-user acceptance tests
C) Conducting a series of penetration tests
D) Implementing an impact evaluation

2. In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data? As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?

A) Hire a Contractor Workforce
B) Contract with Third Party Data Labeling Firms
C) Get your Users to Do it
D) Find a source of already labeled data

3. Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be. What should the project manager do?

A) Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
B) Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
C) Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
D) Move forward without determining which patter of AI this falls under.

4. In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

A) Provide a means to have a different team on the project
B) Provide a means to interpret AI results so that cause and effect can be represented
C) Provide a means to have contestability of the algorithm selected
D) Provide a means to reverse-engineer the algorithm to inspect its performance

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

Solutions: