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

1. Clean, well-labeled datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

A) Split by alphabetical order
B) Split by patterned subsampling
C) Use the same data for all sets
D) Split by random subsampling

2. You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project.
What's the best way to approach this?

A) Take inventory of all data your team has and use the relevant data
B) Take all the data your company has as well as purchase additional external data
C) Take all the existing data you have and apply it to this project
D) Take inventory of all data your company has and use the relevant data

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

4. Your team is using a neural network algorithm to generate a Machine Learning Model. What specific artifacts need to be included? (Select all that apply.)

A) Hyperparameter settings
B) Supporting training data
C) Bias-variance tradeoff
D) The algorithm code

5. You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?

A) Determine the long-term need for the organization and build the project to that long-term goal.
B) Evaluate whether the solution can be done with automation.
C) Determine if the project fits within the scope, budget, and timeline set out.
D) Determine whether the project has a cognitive technology component and meets a short-term need.

Solutions: