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

1. 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 pattern of AI this falls under.

2. You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?

A) Determine if the project fits within the scope, budget, and timeline set out.
B) Determine the long-term need for the organization and build the project to that long-term goal.
C) Determine whether the project has a cognitive technology component and meets a short-term need.
D) Evaluate whether the solution can be done with automation.

3. Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

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

4. Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

A) Gaussian Mixture
B) Support Vector Machines (SVM)
C) Neural Networks
D) Naive Bayes

5. You're running an image recognition project and realize that you do not have enough data of a certain type of vehicle. What is the best course of action to get the additional labeled data you need?

A) Perform Data Sampling
B) Perform Data Transformation & Multiplication
C) Perform Data Anonymization
D) Purchase the data from a third party

Solutions: