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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Fundamentals | 16% | - Concepts and terminology of Artificial Intelligence - AI capabilities and limitations - Types of AI and Machine Learning |
| Topic 2: CPMAI Methodology | 41% | - Phase V: Operationalization
|
| Topic 3: Trustworthy AI | 9% | - Privacy and security - Transparency and explainability - Ethical considerations and bias |
| Topic 4: Data for AI | 13% | - DataOps concepts - Data strategy and governance - Data preparation and preprocessing |
| Topic 5: Managing AI | 8% | - Stakeholder management - Managing AI project teams and resources - Risk management in AI projects |
| Topic 6: Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Supervised, Unsupervised, and Reinforcement Learning - Deep Learning and Neural Networks |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
Question 1
A capital markets firm is exploring the use of AI to enhance its trading algorithms. The firm expects the AI solution will increase trading accuracy and profitability. The project manager needs to create a business case to justify the AI investment. Which method will provide results that meet the firm's goals and objectives?
A. Performing a scenario analysis
B. Consulting with AI vendors
C. Conducting a market trend analysis.
D. Developing a financial impact assessment
Question 2
During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules. What problem describes the issue the project team is facing?
A. Absence of a clear AI go/no-go assessment
B. Lack of clarity on the project's business objective
C. Inadequate separation of cognitive and noncognitive software
D. Failure to identify applicable data regulations early on
Question 3
You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?
A. Generative AI solutions for content generation
B. Decision tree and Random Forest approaches
C. Autonomous patterns and process automation
D. Image and object detection and recognition systems
Question 4
You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project. Which phase best describes the work you are performing?
A. Phase I
B. Phase IV
C. Phase III
D. Phase V
E. Phase VI
F. Phase II
Question 5
A project manager is preparing a contingency plan for an AI-enabled underwriting platform.
During outages, the business must still make time-sensitive decisions. What strategy best supports business continuity?
A. Stop all underwriting until the AI system returns
B. Keep the AI system running without monitoring to avoid interruptions
C. Implement a manual override process with defined escalation and decision rules
D. Only increase marketing to offset the outage
Solutions:
| Question 1 Answer: D | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: F | Question 5 Answer: C |
