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

1. You're working with an inexperienced team and this is all their first AI project. You're trying to work on a supervised learning binary classification problem to determine if emails are spam or not.
What is the best approach for this project?

A) Pick a simple algorithm such as naive bayes
B) Pick a neural network algorithm since you know this works well for supervised learning approaches
C) Pick an ensemble method since you're not sure which algorithm will perform best
D) Pick a simple algorithm such as Gaussian mixture

2. You are working for a large multinational organization and have been assigned to a new project.
For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address (Select all that apply.):

A) Securing model data and metadata
B) Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
C) Securely storing all data collected for training purposes
D) Securing data at rest

3. You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

A) K Nearest Neighbor
B) Neural Network
C) Hyperpersonalization
D) K-means

4. Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same.
What is most likely happening here?

A) Biased data sets leading to algorithmic discrimination
B) Generative AI models hallucinating data results
C) Nothing is wrong, algorithmic decisions will never be 100%
D) Data privacy issues leading to data sharing concerns

5. During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A) Model training
B) Model Selection
C) Model tuning
D) Algorithm Selection

Solutions: