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

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

1. A project manager is reviewing the performance of an AI model used for predictive analytics in sales. The model's accuracy is within acceptable limits; however, its precision is low.
What is the cause for the precision issue?

A) The feature selection process is flawed
B) The model is underfitting the validation data
C) The training data is unbalanced
D) The model is overfitting the training data

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

3. An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?

A) Train the model on GPUs
B) Train the model over multiple desktop computers
C) Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
D) Use a contractor to do the training portion

4. A team is retraining a model and creating a new version of that model. What's the most important thing for the team to have in place before doing this?

A) Model Governance
B) Data operations
C) Model operations
D) Model discovery

5. Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind.
At what phase of CPMAI would Trustworthy AI be considered?

A) Phase II
B) None of the phases
C) Phase I
D) All phases
E) Phase V
F) Phase IV
G) Phase III
H) Phase VI

Solutions: