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

1. Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the ImageNet test set. After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an AI system.
What area of Trustworthy AI is being addressed here?

A) Responsible AI
B) AI Systemic Transparency
C) Transparent AI
D) Explainable AI
E) Governed AI

2. A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project.
What's wrong with this suggestion?

A) Pipelines are model operationalization need specific.
B) There is no issue. Pipelines can be reused as needed between projects.
C) Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.
D) Pipelines are pattern and model need specific.

3. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

A) Responsible AI
B) Transparent AI
C) Explainable AI
D) Governed AI
E) Ethical AI

4. A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.
What's the next best course of action?

A) Bring in data centric methodology best practices to get this project back on track
B) Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
C) Hire an entirely new team making sure there is at least one data scientist on this new team
D) Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices

5. You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique.
What is this technique called?

A) Reinforcement Learning
B) Generative AI
C) Transfer Learning
D) Pre-Trained Models

Solutions: