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PMI CPMAI Exam Syllabus Topics:

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

1. You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?

A) Feature Engineering
B) Retraining Pipelines
C) ELT pipeline
D) Data Acquisition / Ingest / Capture

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

3. 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?

A) Gradient Descent
B) Dimensionality Reduction
C) Multivariate regression
D) Data selection

4. A company's leadership team has requested insights into the AI model's ability to support decision-making processes without requiring them to understand complex technical details.
Which step should the project manager take?

A) Discuss how ensemble methods improve the model's robustness.
B) Explain the role of neural network architectures in prediction accuracy.
C) Describe the model's backpropagation and gradient descent optimization.
D) Demonstrate how the model's output can be integrated and used in end-user systems.

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

Solutions: