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

1. Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
What role would be most suited for this?

A) Citizen Data Scientist
B) Data Scientist
C) Data Engineer
D) Project Manager

2. Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device", specifically a mobile phone and the user may sometimes be in remote locations without regular access to the internet.
What's the most important thing to consider here?

A) Make sure the model lives in a hybrid environment
B) Make sure the model is available over a cloud-based API
C) Make sure the model lives on the edge device so it can be used regardless of internet connection
D) Make sure that you can use Generative AI solutions on an edge device

3. An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model.
Which activity should the project manager implement?

A) Conducting a pilot test with a small dataset
B) Setting up real-time data streaming from aircraft sensors
C) Implementing data cleaning and preprocessing routines
D) Developing a comprehensive data collection strategy

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

5. 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) Naive Bayes
C) Support Vector Machines (SVM)
D) Neural Networks

Solutions: