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

1. Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However your team doesn't have access to all the data it needs.
What's the best course of action?

A) Do not move forward until you have access to all the data you need.
B) Cautiously move forward knowing you may need to pause mid-project which is ok.
C) Move ahead as planned so you stay on time with your project.
D) Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.

2. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?

A) All would work equally well
B) Reinforcement Learning
C) Unsupervised Learning
D) Supervised Learning

3. Senior management has tasked your group to analyze a data set to uncover insights into the dat

A) Data Governance
B) What is the best approach to use to do this?
C) Data Integration
D) Data Mining or Data Analytics
E) Data preparation

4. Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT wants to create a more robust spam filter and your team has been tasked with this project. What type of algorithm would you select for this problem?

A) Binary (or Binomial) Classification
B) Clustering
C) Multiclass Classification
D) Regression

5. 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) Hyperpersonalization
C) Neural Network
D) K-means

Solutions: