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PMI CPMAI Exam Syllabus Topics:

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

1. You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

A) Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.
B) Go through all possible scenarios to come up with the perfect first project.
C) Find a project that requires 100% accuracy in the results and start with that one.
D) Ask key stakeholders from all groups for input about their pain points.

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

3. 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) False Negative results
B) False Positive results
C) True Positive results
D) True Negative results

4. You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Choose all that apply.)

A) Automation skills, especially around creating RPA bots
B) Critical thinking skills
C) Understanding of tools and technologies for manipulating, collecting, and preparing large data sets
D) Strong math skills, especially in calculus and statistics
E) Prompt engineering skills
F) Understanding of algorithms

5. A transportation company is preparing data for an AI model to optimize fleet management. The project team is working with large amounts of structured and unstructured data. If the project manager avoids addressing the variety of data during preparation, what will be the result?

A) Reduced model performance
B) Increased data consistency
C) Improved model accuracy
D) Decreased data processing speed

Solutions: