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PMI CPMAI Exam Syllabus Topics:

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

1. A project manager is preparing a final report on an AI project. The report must highlight lessons learned, focusing on ethical concerns and compliance with data regulations. In addition, the team has identified multiple ethical issues related to data privacy during the project. What is an effective approach to address the situation for future AI projects?

A) Implement a robust ethical data governance framework.
B) Develop a transparent data compliance usage policy.
C) Increase the frequency of compliance audits.
D) Provide additional training on ethical AI practices.

2. 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?

A) Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes
B) Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes
C) Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes
D) Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user

3. An energy technology firm is developing an AI model to predict energy consumption patterns.
They need to gather the required data from smart meters, weather forecasts, and historical usage records. To help ensure the AI model performs well, which action will address their needs?

A) Integrating a data warehouse with real-time data ingestion
B) Utilizing a data lake to store and process all data sources
C) Leveraging federated learning to keep data decentralized
D) Adopting a hybrid cloud approach for scalable data management

4. Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned. What would likely have helped avoid this conflict?

A) Applying a hybrid approach of automation and AI best practices would have achieved better results.
B) Nothing - running automation projects like autonomous projects is the correct thing to do.
C) Senior management should become involved in the project.
D) Everyone on the team should understand the differences between automation and autonomous systems.

5. A project team is using a prompt engineering approach to improve AI/machine learning (ML) model outputs. They started with broad questions and then narrowed down the specific elements.
If the team had provided insufficient context, what would be the result?

A) The output would include higher accuracy.
B) The responses would lack relevance.
C) The model would perform more efficiently.
D) The model would generate more creative outputs.

Solutions: