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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Fundamentals | 16% | - Types of AI and Machine Learning - AI capabilities and limitations - Concepts and terminology of Artificial Intelligence |
| Managing AI | 8% | - Risk management in AI projects - Stakeholder management - Managing AI project teams and resources |
| Data for AI | 13% | - Data preparation and preprocessing - DataOps concepts - Data strategy and governance |
| CPMAI Methodology | 41% | - Phase V: Operationalization
|
| Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning |
| Trustworthy AI | 9% | - Privacy and security - Transparency and explainability - Ethical considerations and bias |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project. What's the best way to approach this?
- A. Take inventory of all data your company has and use the relevant data
- B. Take inventory of all data your team has and use the relevant data
- C. Take all the data your company has as well as purchase additional external data
- D. Take all the existing data you have and apply it to this project
Correct Answer: A 🗳️
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A company plans to operationalize an AI solution. The project manager needs to ensure model performance is meeting selected thresholds before release. What is an effective way to confirm these thresholds before this release?
- A. Running multiple end-user acceptance tests
- B. Conducting a series of penetration tests
- C. Implementing an impact evaluation
- D. Testing against validation datasets
Correct Answer: D 🗳️
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A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of the project duration. Based on her experience with three similar projects, the project manager provides an estimate of 8-10 months. What's wrong with this timeframe?
- A. It fits into a waterfall timeframe, but not an agile project timeframe
- B. It's underestimating the project timeline by 3 months
- C. It's not accounting for potential project delays
- D. It's not accounting for data preparation timelines
Correct Answer: D 🗳️
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The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees. Your model is provided the following:
- A. False Negative results
- B. True Negative results
- C. True Positive results
- D. False Positive results
Correct Answer: D 🗳️
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A consulting firm is determining the feasibility of an AI project. They need to justify the use of AI over noncognitive solutions. The project manager has listed potential noncognitive alternatives.
What is an effective method to support an AI approach?
- A. Emphasizing the simplicity and reliability of noncognitive solutions
- B. Focusing on the novelty and technological AI appeal
- C. Relying only on industry trends favoring AI adoption
- D. Conducting a cost-benefit analysis comparing AI and noncognitive solutions
Correct Answer: D 🗳️
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