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| Certification Vendor: | PMI (Project Management Institute) |
|---|---|
| Exam Name: | PMI Certified Professional in Managing AI |
| Exam Number: | PMI-CPMAI |
| Available Languages: | English |
| Related Certifications: | PMI-PBA (Professional in Business Analysis) PMP (Project Management Professional) PMI-ACP (Agile Certified Practitioner) |
| Passing Score: | Not publicly disclosed |
| Exam Duration: | 150 minutes |
| Exam Price: | USD $520 for PMI members / USD $670 for non-members |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 120 |
| Exam Format: | Multiple Choice |
| Sample Questions: | ![]() |
| Exam Way: | Computer-based testing at PMI-authorized Pearson VUE test centers worldwide |
| Pre Condition: | No mandatory prerequisites. However, basic project management knowledge (PMP or equivalent experience) is recommended. Secondary school diploma required if pursuing PMI membership. |
| Official Syllabus URL: | https://www.pmi.org/certifications/certified-professional-managing-ai-cp-ai |
| Section | Weight | Objectives |
|---|---|---|
| AI Project Lifecycle | 25% | - Iterative and agile approaches for AI - Model testing and validation - AI deployment and monitoring - Model development and training - Data acquisition and preparation - AI project planning and scoping |
| AI Risk and Performance Management | 20% | - Monitoring and maintenance planning - AI-specific risk identification - Technical debt in AI projects - AI failure modes and mitigation - Model performance metrics |
| AI Team and Stakeholder Management | 20% | - AI team roles and skills - Communication in AI projects - Managing AI specialist expectations - Stakeholder engagement strategies - Cross-functional collaboration |
| AI Fundamentals and Context | 15% | - AI history and evolution - AI business value and use cases - AI technologies and techniques overview - Types of AI (Narrow AI, General AI, Generative AI) - AI concepts and terminology |
| AI Governance and Ethics | 20% | - Bias identification and mitigation - Responsible AI practices - AI ethics principles and frameworks - AI governance structures - Transparency and explainability - Regulatory compliance considerations |
PMI Certified Professional in Managing AI is an official PMI (Project Management Institute) certification exam, registered under the code PMI-CPMAI. Passing it earns the CPMAI certification, positioned at the Specialized / Professional level. It also connects to PMP (Project Management Professional), PMI-ACP (Agile Certified Practitioner), PMI-PBA (Professional in Business Analysis). Professional work increasingly demands professional proof, and this exam supplies exactly that.
The PMI Certified Professional in Managing AI exam contains 120 questions to be answered within 150 minutes. The candidates who struggle most are rarely the least knowledgeable; they are the least rehearsed at time allocation. Practice full timed sessions in the ITExamDownload engine, learn to flag and move on, and the official clock becomes a familiar companion instead of a threat.
PMI Certified Professional in Managing AI requires Not publicly disclosed to pass, and official registration costs USD $520 for PMI members / USD $670 for non-members. Since a retake bills the full USD $520 for PMI members / USD $670 for non-members again, confirming readiness first is simply good economics. Run repeated scored sessions with the ITExamDownload practice tests and schedule the exam once the passing line sits comfortably below your typical result.
No mandatory prerequisites. However, basic project management knowledge (PMP or equivalent experience) is recommended. Secondary school diploma required if pursuing PMI membership.
Vendor policies do change, so verify the current requirements before you register via the official exam page.
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PMI Certified Professional in Managing AI covers 5 official domains. The largest include AI Fundamentals and Context (15%), AI Governance and Ethics (20%), and AI Project Lifecycle (25%). The full breakdown is in the topics section above; review it first and your study plan practically writes itself.
A team responsible for maintaining an AI-driven fraud detection system has noticed a decline in model performance.
Recent audits reveal that updates to the transactional database schema caused data field misalignments, leading to incorrect data inputs during model training.
What should the project manager do?
Correct Answer: C 🗳️
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A project manager needs to address potential ethical concerns related to data misuse within a new AI system.
The AI system will handle large volumes of personal data. In addition, the project manager needs to ensure the data is used responsibly.
Which action should the project manager take?
Correct Answer: B 🗳️
Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).
A logistics company wants to optimize its delivery routes while adapting to real-time traffic conditions.
Which AI pattern or patterns meet these goals?
Correct Answer: B 🗳️
Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).
A project manager is tasked with ensuring that an AI project complies with data regulations before data collection begins. This involves identifying all necessary requirements for trustworthy AI, including ethical considerations, privacy, and transparency.
What should the project manager do first?
Correct Answer: B 🗳️
Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).
A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development.
What is the first step the project team should complete?
Correct Answer: D 🗳️
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