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

2. The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

A) Phase I
B) Phase III
C) Phase VI
D) Phase IV
E) Phase V
F) Phase II

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

4. You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results.
What's your best course of action?

A) Try to improve the quality of your data through more preparation
B) Try to get additional data - at least 5 training examples for each dimension in the representation
C) Keep going as planned and the problem will eventually correct itself
D) Try to get additional information from project lead to see how many examples per dimension are needed

5. Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system.
What area of Trustworthy AI is being addressed here?

A) AI Systemic Transparency
B) Responsible AI
C) Transparent AI
D) Explainable AI
E) Governed AI

Solutions: