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PMI CPMAI Exam Syllabus Topics:

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

1. A financial institution is implementing a new AI system for fraud detection. The project team must ensure the data meets the needs of the AI solution by verifying data quality, completeness, and relevance. They have access to various internal and external data sources. Which method addresses the project team's objectives?

A) Integrating data without improvement checks to expedite the project timeline
B) Using pretrained models without tailoring to specific data
C) Conducting a comprehensive data audit and cleansing process
D) Limiting the data sources to internal databases to avoid complications

2. A healthcare provider is operationalizing an AI tool to assist in diagnostic processes. To ensure robust model governance, they need to address data privacy and ethical considerations. What should the project manager do?

A) Implement a multi-tiered DCA framework.
B) Establish a comprehensive DPMS protocol.
C) Set up a continuous CUE review process.
D) Develop a detailed privacy impact assessment (PIA).

3. A fraud detection system must minimize false positives to avoid incorrectly flagging legitimate transactions. The team is selecting evaluation metrics to optimize model performance accordingly. Which metric should be prioritized in this scenario?

A) Recall
B) Accuracy
C) F1-score
D) Precision

4. 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) Increase the frequency of compliance audits.
D) Develop a transparent data compliance usage policy.

5. During CPMAI Phase II it's important to not only understand the sources of your data, but also what data is required for training as well as identifying the features that are required. When looking to gather data, what approach is best when determining how much data you need?

A) The "more is better" approach
B) The "less is better" approach
C) There is no correct approach
D) The "goldilocks" approach

Solutions: