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

1. Your team is tasked with selecting an algorithm for a supervised learning classification project.
Which algorithm might you choose?

A) K-means
B) Q learning
C) Gaussian mixture
D) K-nearest neighbor

2. The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive.
To keep your organization competitive, you need to:

A) Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.
B) Make sure all senior leadership is data literate, understands the Vs of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.
C) Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
D) Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

3. An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions.
What is the best approach for handling this project?

A) Run each pattern in isolation, with separate teams
B) Run it as one project, combining teams, data requirements, and project needs
C) Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
D) Run it as a hybrid approach and some phases are run separately while other phases are combined together

4. Your team is working on an image recognition project, have collected the appropriate data for the project, and have picked a neural network algorithm. They are now ready to train their model.
In which phase of CPMAI is this done?

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

5. During CPMAI Phase II, it's important to not only understand the sources of your data but also what data is required for training as well as identifying the features that are required.
When looking to gather data, what approach is best when determining how much data you need?

A) The "more is better" approach
B) There is no correct approach
C) The "less is better" approach
D) The "Goldilocks" approach

Solutions: