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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 |
| Exam Format: | Multiple Choice |
| Passing Score: | Not publicly disclosed |
| Exam Duration: | 150 minutes |
| Real Exam Qty: | 120 |
| Related Certifications: | PMP (Project Management Professional) PMI-PBA (Professional in Business Analysis) PMI-ACP (Agile Certified Practitioner) |
| Exam Price: | USD $520 for PMI members / USD $670 for non-members |
| Certificate Validity Period: | 3 years |
| 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 Fundamentals and Context | 15% | - AI technologies and techniques overview - AI concepts and terminology - AI history and evolution - Types of AI (Narrow AI, General AI, Generative AI) - AI business value and use cases |
| AI Team and Stakeholder Management | 20% | - AI team roles and skills - Cross-functional collaboration - Managing AI specialist expectations - Communication in AI projects - Stakeholder engagement strategies |
| AI Risk and Performance Management | 20% | - Technical debt in AI projects - Model performance metrics - AI failure modes and mitigation - AI-specific risk identification - Monitoring and maintenance planning |
| AI Governance and Ethics | 20% | - Bias identification and mitigation - Transparency and explainability - AI ethics principles and frameworks - AI governance structures - Regulatory compliance considerations - Responsible AI practices |
| AI Project Lifecycle | 25% | - Iterative and agile approaches for AI - Model testing and validation - Data acquisition and preparation - Model development and training - AI deployment and monitoring - AI project planning and scoping |
PMI Certified Professional in Managing AI is an official PMI (Project Management Institute) exam, listed under exam code PMI-CPMAI. A passing result earns you the CPMAI certification at the Specialized / Professional level. It also ties into PMP (Project Management Professional), PMI-ACP (Agile Certified Practitioner), PMI-PBA (Professional in Business Analysis), extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.
Expect 120 questions inside 150 minutes on the PMI Certified Professional in Managing AI exam. That pace punishes hesitation, so rehearse it: the DumpsActual software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.
Passing PMI Certified Professional in Managing AI requires Not publicly disclosed, and the official registration fee is USD $520 for PMI members / USD $670 for non-members. Retakes charge the full USD $520 for PMI members / USD $670 for non-members again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated DumpsActual practice scores above the requirement before you commit to a date.
No mandatory prerequisites. However, basic project management knowledge (PMP or equivalent experience) is recommended. Secondary school diploma required if pursuing PMI membership.
Requirements evolve, so confirm the current conditions before registering on the official exam page.
Yes. DumpsActual provides a free download demo of the PMI Certified Professional in Managing AI material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the PMI Certified Professional in Managing AI exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.
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The PMI Certified Professional in Managing AI syllabus spans 5 domains, led by AI Team and Stakeholder Management (20%), AI Project Lifecycle (25%), and AI Risk and Performance Management (20%). The complete topic list is published above; candidates who study the map first rarely get lost later.
Different AI project team members are responsible for various parts of the project, both cognitive and non- cognitive. The project manager needs to ensure effective accountability documentation.
Which method will help to ensure accurate documentation?
Correct Answer: A π³οΈ
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Clean and well-labeled datasets used for machine learning (ML) are being partitioned into three subsets:
training sets, validation sets, and test sets.
As the project team is working on these activities, what is an efficient way to split the data?
Correct Answer: C π³οΈ
Explanation: Only visible for DumpsActual members. You can sign-up / login (it's free).
An insurance company ' s AI system analyzes user data to personalize premium rates.
During a risk assessment, the project team learns that the system has a strong tendency to exclude high-risk individuals based on biased historical data.
What should the project manager do?
Correct Answer: A π³οΈ
Explanation: Only visible for DumpsActual members. You can sign-up / login (it's free).
An AI project team needs to consider compliance with data regulations and explainability standards as requirements for a new AI solution.
At what point in the project should the requirements be approached?
Correct Answer: D π³οΈ
Explanation: Only visible for DumpsActual members. You can sign-up / login (it's free).
An insurance company is in the Business Understanding phase of an AI project to develop a chatbot that provides personalized assistance to customers.
The chatbot will include tailored policy recommendations and claim support based on individual customer data.
The project manager needs to choose an appropriate technical performance benchmark for the project.
What should the project manager select?
Correct Answer: D π³οΈ
Explanation: Only visible for DumpsActual members. You can sign-up / login (it's free).
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