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

1. Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device", specifically a mobile phone and the user may sometimes be in remote locations without regular access to the internet.
What's the most important thing to consider here?

A) Make sure that you can use Generative AI solutions on an edge device
B) Make sure the model lives on the edge device so it can be used regardless of internet connection
C) Make sure the model is available over a cloud-based API
D) Make sure the model lives in a hybrid environment

2. A project team is tasked with ensuring all AI-related decisions and actions are documented comprehensively for future auditing purposes. They need to track the reasons for specific AI choices, their impacts, and any issues encountered during the implementation.
What is represented in this situation?

A) Compliance management
B) Strategic alignment
C) Operational efficiency
D) Transparency

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

4. Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

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

5. 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) Move ahead as planned so you stay on time with your project.
B) 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.
C) Do not move forward until you have access to all the data you need.
D) Cautiously move forward knowing you may need to pause mid-project which is ok.

Solutions: