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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data for AI | - Data identification and governance
| |
| AI Operationalization and Governance | - Deployment and lifecycle management
| |
| AI Model Development and Iteration | - Model building and validation
| |
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| Data Preparation for AI | - Data cleaning and transformation
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?
- A. Operationalizing a data catalog to maintain metadata standards
- B. Using data profiling tools to assess data completeness
- C. Setting up a continuous integration pipeline for real-time data validation
- D. Implementing data augmentation techniques to fill missing values
Correct Answer: A 🗳️
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A healthcare organization is evaluating the operationalization of an AI-powered diagnostic tool.
The tool is expected to enhance diagnostic accuracy and speed, thereby reducing patient wait times. The project manager needs to prepare a business case to present to the board of directors. Which method will help to ensure a robust business case?
- A. Performing a cost-effectiveness study
- B. Conducting a stakeholder impact analysis
- C. Drafting a detailed implementation roadmap
- D. Developing a predictive analytics model
Correct Answer: A 🗳️
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An AI model trained on historical transaction data performs well initially. Over time, customer behavior changes due to market conditions, causing declining prediction accuracy. The team observes a mismatch between training and current data distributions. What is this issue called?
- A. Concept drift
- B. Overfitting
- C. Underfitting
- D. Data leakage
Correct Answer: A 🗳️
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During development of a healthcare AI diagnostic tool, stakeholders request improving model accuracy by using a complex black-box model, reducing interpretability. Regulatory requirements emphasize transparency in clinical decisions. How should the project manager respond to this request?
- A. Accept the change to improve performance
- B. Reject the request immediately
- C. Evaluate regulatory and business requirements for explainability
- D. Replace stakeholders with technical experts
Correct Answer: C 🗳️
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You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy. What is your next best course of action to address this?
- A. Share prior experiences with how your last team addressed this problem and how you solved it
- B. Help senior management do research on AI vendors
- C. Share prior experiences with how your last team addressed this problem and their data quality issues
- D. Say nothing and let the team figure it out for themselves
Correct Answer: A 🗳️
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Have passed CPMAI exam today.