Updated: Aug 26, 2026
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| Certification Vendor: | Project Management Institute (PMI) |
| Exam Name: | PMI Cognitive Project Management in AI (PMI-CPMAI) Certification Exam |
| Exam Number: | PMI-CPMAI |
| Exam Format: | Multiple-choice, Scenario-based, Application-focused |
| Related Certifications: | PMP® PMI-ACP® PMI-RMP® PMI-SP® |
| Exam Duration: | 160 minutes |
| Certificate Validity Period: | Valid indefinitely; requires 30 PDUs every 3 years for maintenance |
| Available Languages: | English |
| Exam Price: | USD 699 (PMI Member), USD 899 (Non-Member) |
| Real Exam Qty: | 120 (100 scored, 20 unscored pretest) |
| Passing Score: | Pass/Fail; no fixed numerical score published |
| Recommended Training: | PMI-CPMAI Exam Prep Course |
| Exam Registration: | PMI Official Registration Pearson VUE Scheduling |
| Sample Questions: | PMI CPMAI Sample Questions |
| Exam Way: | Computer-based test (CBT) at Pearson VUE test center or online proctored |
| Pre Condition: | Completion of official PMI-CPMAI Exam Prep Course required; no prior experience or other certifications mandatory |
| Official Syllabus URL: | https://www.pmi.org/certifications/ai-project-management-cpmai |
| Section | Weight | Objectives |
|---|---|---|
| Support Responsible and Trustworthy AI Efforts | 15% | - Ensure fairness, transparency, accountability - Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks |
| 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% | - Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production |
| Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions |
| Identify Data Needs | 26% | - Define data requirements and sources - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance |
1. A project member is deciding on the appropriate AI algorithm for a new project. The goal is to achieve high accuracy while maintaining transparency in the decision-making process.
What should the project manager suggest?
A) Evaluate the explainability of potential algorithms.
B) Select an algorithm known for high accuracy in similar projects.
C) Ensure the selected algorithm complies with industry standards.
D) Consult with stakeholders about their transparency requirements.
2. During the Data Understanding phase, a project team discovers that only 14 months of transaction history is available for a demand forecasting model that must account for multi-year seasonal cycles.
What is the most appropriate action for the project manager?
A) Generate synthetic historical data to extend the time series
B) Raise a go/no-go decision point and reassess project feasibility
C) Reduce the forecast horizon to match the available data
D) Proceed with modeling and document the limitation in the risk register
3. Humans have an innate capability that cognitive machines have not been able to replicate. What illustrates the core aspect of human intelligence related to the ability to adapt to new situations?
A) Applying past experiences to solve unfamiliar problems.
B) Processing large volumes of information quickly.
C) Manipulating the environment through random action.
D) Performing tasks based on symbolic reasoning.
4. 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) Develop a detailed privacy impact assessment (PIA).
B) Implement a multi-tiered DCA framework.
C) Establish a comprehensive DPMS protocol.
D) Set up a continuous CUE review process.
5. Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved. What role would be most suited for this?
A) Citizen Data Scientist
B) Project Manager
C) Data Engineer
D) Data Scientist
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |
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