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

1. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?

A) Supervised Learning
B) Unsupervised Learning
C) All would work equally well
D) Reinforcement Learning

2. You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?

A) Decision tree and Random Forest approaches
B) Generative AI solutions for content generation
C) Image and object detection and recognition systems
D) Autonomous patterns and process automation

3. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Real-time prediction
B) Stream learning
C) Batch prediction
D) Web service / Microservice

4. The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees.
Your model is provided the following:

A) True Positive results
B) False Negative results
C) True Negative results
D) False Positive results

5. 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) Data Scientist
B) Data Engineer
C) Citizen Data Scientist
D) Project Manager

Solutions: