PMI Cognitive Project Management in AI (PMI-CPMAI) : CPMAI Exam

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PMI CPMAI Exam Syllabus Topics:

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

1. A project team is tasked with ensuring all AI-related decisions and actions are documented comprehensively for future auditing purposes. They need to track the reasons for specific AI choices, their impacts, and any issues encountered during the implementation. What is represented in this situation?

A) Strategic alignment
B) Transparency
C) Operational efficiency
D) Compliance management

2. A city transportation department is deploying an AI model that adjusts traffic signal timing. The department is concerned that traffic patterns will shift seasonally and during major events. What is the best method to manage this risk after deployment?

A) Perform continuous monitoring and auditing for drift and performance degradation
B) Increase the training dataset size once before launch
C) Rely on vendor guarantees instead of internal controls
D) Disable model updates to maintain consistent behavior

3. You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A) The location/source of your data collection
B) The volume of the data you collect
C) The quality of the data you collect
D) The makeup of your data team

4. A national health insurance company is embarking on a complex AI project to assist in coordinating patient care across its multiple hospital network. The AI system will analyze large amounts of patient data to coordinate care, improve patient outcomes, and optimize resource allocation. Numerous healthcare providers' data needs to be integrated. The data includes patient information which is private. The project needs to comply with data privacy regulations in various countries. Which critical step should be performed to optimize representative training data?

A) Implement comprehensive bias detection metrics.
B) Enhance the key performance indicator (KPI) metrics.
C) Increase the data set size without considering diversity.
D) Improve data understanding and preparation.

5. Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, your team doesn't have access to all the data it needs. What's the best course of action?

A) Do not move forward until you have access to all the data you need.
B) Cautiously move forward knowing you may need to pause mid-project which is ok.
C) Move ahead as planned so you stay on time with your project.
D) Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.

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