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

1. You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

A) Prompt engineering for new image generation
B) Use of Generative Outpainting
C) Use of super-resolution to enhance the existing image
D) Use of inpainting to replace image components

2. You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited data set to work with.
Which algorithm is the best choice given these constraints?

A) Neural Networks
B) Generative AI
C) Ensemble models
D) Naive Bayes

3. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The location/source of your data collection
B) The makeup of your data team
C) The volume of the data you collect
D) The quality of the data you collect

4. You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

A) Implement a new data privacy policy
B) Store the data in a data warehouse
C) Use noise reduction techniques to reduce all forms of data noise
D) If this data is not needed, use Data anonymization techniques to remove it before feeding to models

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

Solutions: