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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability |
| Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions |
| Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability |
| Operationalize AI Solution | 17% | - Deploy AI systems into production - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch |
| Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Define data requirements and sources - Ensure data quality, privacy, security, and compliance |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. An AI recommendation system has been in production for four months. The project manager wants to ensure the solution continues to deliver business value.
What is the most effective mechanism?
A) Establish a continuous feedback loop that captures outcomes and feeds monitoring and retraining decisions
B) Schedule an annual model audit
C) Compare monthly model accuracy against the original evaluation results
D) Survey users quarterly about their satisfaction with recommendations
2. A logistics company is operationalizing an AI system to improve delivery times. The project team needs to identify performance constraints that may impact the AI solution. Which method should the project manager use to meet the team's objective?
A) Benchmarking against competitors
B) Implementing advanced data visualization tools
C) Conducting a preliminary feasibility study
D) Training employees on AI ethics
3. A healthcare organization is implementing an AI system for patient data management. The project manager must ensure compliance with data privacy regulations. In addition, they need to verify that the AI tool adheres to all relevant data access protocols and compliance standards.
What should the project manager do first to address these requirements?
A) Conduct a comprehensive data protection impact assessment.
B) Establish a data privacy officer (DPO) role to oversee the AI system.
C) Develop and enforce a data governance framework.
D) Implement secure data protocols (SDPs) and monitoring.
4. 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) Utilizing a prompt pattern to guide the AI model's training process
C) Using a fact checklist to systematically verify data sources
D) Implementing alternative approaches to process data differently
5. Your team has built a new robot that roams the halls at your organization and helps with various things such as small deliveries. However, you notice that many employees are opting not to use the robot. When you ask them why they tell you that the robot looks "creepy" and they would rather not interact with it. What's going on here?
A) Lack of understanding the robot's usefulness
B) Safety and reliability issues that impact bot usefulness
C) Bias towards the robot
D) The bot is falling into The "Uncanny Valley"
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |




