CPMAI_v7 Practice Exam Questions and Answers

You’re looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind. At what phase of CPMAI would Trustworthy AI be considered?

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?

Enhancing and cleaning data is an important action during which phase of CPMAI?

When building your model you need to make sure you’re not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective.

At what phase of CPMAI is this most appropriate to do this?

You’re working with petabytes of data and need to make this dataset more manageable. To do this, you want to reduce the number of variables under consideration. What is the name for this process?

You’re working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs. Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project. What’s a key feature for this project that should happen to ensure success?

Your team is looking for a short term ROI project and decides that an AI-enabled chatbot will be the project to start with. During Phase I of CPMAI you go through the AI Go/No Go decision chart and realize that you have not answered yes to all the business feasibility questions. You and the team have not determined a clear problem definition.

What’s the best course of action with how to proceed?

One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the data collection efforts.

What course of action might make the issue worse?