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Updated: Aug 11, 2026
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PMI CPMAI Exam Overview:
| Certification Vendor: | Project Management Institute (PMI) |
| Exam Name: | PMI Cognitive Project Management in AI (PMI-CPMAI) Certification Exam |
| Exam Number: | PMI-CPMAI |
| Exam Price: | USD 699 (PMI Member), USD 899 (Non-Member) |
| Related Certifications: | PMP® PMI-ACP® PMI-RMP® PMI-SP® |
| Available Languages: | English |
| Certificate Validity Period: | Valid indefinitely; requires 30 PDUs every 3 years for maintenance |
| Passing Score: | Pass/Fail; no fixed numerical score published |
| Exam Format: | Multiple-choice, Scenario-based, Application-focused |
| Real Exam Qty: | 120 (100 scored, 20 unscored pretest) |
| Exam Duration: | 160 minutes |
| Recommended Training: | PMI-CPMAI Exam Prep Course |
| Exam Registration: | Pearson VUE Scheduling PMI Official Registration |
| 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 |
PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability |
| Topic 2: Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability |
| Topic 3: Operationalize AI Solution | 17% | - Manage change, adoption, and governance post-launch - Deploy AI systems into production - Establish monitoring, maintenance, and improvement processes |
| Topic 4: Identify Data Needs | 26% | - Define data requirements and sources - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance |
| Topic 5: Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions - Align AI initiatives with organizational strategy |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. A project involves integrating AI systems across multiple departments, each with different access levels. This complex Al project has presented the project manager with significant issues related to data misuse. The project team has been focused on their ethics guidelines but continues to experience data misuse. The project involves different regional data protection regulations which further increases the complexity. What issue will cause these challenges to occur?
A) Lack of a detailed plan addressing a governance strategy
B) Failure to implement robust encryption for data security
C) Limited awareness of explainability requirements
D) Overlooking algorithmic bias and fairness concerns
2. A project team is trying to determine the most suitable environment to operationalize their AI/machine learning (ML) solution. They need to consider various factors to help ensure a successful implementation. What should the project manager do?
A) Analyze the solution's compliance requirements.
B) Identify the end users and their interactions.
C) Consider the cost of implementation.
D) Evaluate the system's scalability options.
3. A telecommunications company is implementing an AI solution to optimize network performance.
The project team needs to prepare the data for the AI system by addressing data format inconsistencies. Which method should the project manager use?
A) Determining the necessary data transformation steps
B) Evaluating the potential impact of data breaches
C) Implementing a data governance framework
D) Creating a comprehensive data quality report
4. Clean, well-labeled, datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?
A) Split by random subsampling
B) Use the same data for all sets
C) Split by alphabetical order
D) Split by patterned subsampling
5. You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?
A) Implement a new data privacy policy
B) If this data is not needed, use Data anonymization techniques to remove it before feeding to models
C) Store the data in a data warehouse
D) Use noise reduction techniques to reduce all forms of data noise
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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What's the different of the three versions?
Online Test Engine can supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser. You can use it on any electronic device and practice with self-paced.
Online Test Engine supports offline practice, while the precondition is that you should run it with the internet at the first time.
Self Test Engine is suitable for windows operating system, running on the Java environment, and can install on multiple computers.
PDF Version: can be read under the Adobe reader, or many other free readers, including OpenOffice, Foxit Reader and Google Docs.
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Once download and installed on your PC, you can practice CPMAI test questions, review your questions & answers using two different options 'practice exam' and 'virtual exam'.
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