PMI CPMAI

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PMI CPMAI Exam Syllabus Topics:

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

Question #1
A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?

A. Applying a visualization generator to create data flow diagrams
B. Using a fact checklist to systematically verify data sources
C. Utilizing a prompt pattern to guide the AI model's training process
D. Implementing alternative approaches to process data differently

Question #2
A project team is working on an AI solution that needs to be both scalable and compliant with various regulations. They need to ensure all cognitive components are thoroughly evaluated for ethical considerations. The team has identified multiple patterns for the project.
How should the team proceed?

A. Implement a robust compliance monitoring system for scalability.
B. Ensure scalability by continuously updating the intelligent system.
C. Divide the project into iterations based on identified computerized schemes.
D. Conduct a detailed ethical review of all cognitive components.

Question #3
A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
What is a necessary initial task?

A. Determining the scalability of AI solutions for transaction monitoring
B. Assessing the ethical implications of using AI for fraud detection
C. Identifying the primary stakeholders and their needs
D. Evaluating the accuracy of current fraud detection methods

Question #4
An organization is establishing oversight for multiple AI initiatives and wants consistent review of fairness, transparency, and acceptable use across projects.
What governance mechanism best addresses this need?

A. A project management office with AI project templates
B. A data quality council reporting to the CIO
C. An AI ethics or responsible AI review board with defined authority
D. A model risk management policy issued by internal audit

Question #5
A project team is working on an AI initiative that requires ensuring the explainability and transparency of their selected algorithms. They have identified the business requirements and stakeholders. What is an effective way to address the project objectives?

A. Leveraging generative AI for advanced data analysis
B. Adopting a principle of least privilege for data access
C. Implementing a chain-of-thought prompting technique
D. Using a rule-based approach to maintain simplicity

Solutions: