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

1. When looking to implement AI to help break the Digital Transformation logjam, it's important to:

A) Start with basic automation and introduce AI only as needed
B) Invest in technology solutions to solve the problem
C) Have the right culture for AI
D) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non-digital processes

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

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

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

5. Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

A) Descriptive Analytics
B) Diagnostic Analytics
C) Projective Analytics
D) Predictive Analytics

Solutions: