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Updated: Aug 10, 2026
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| Certification Vendor: | Project Management Institute (PMI) |
| Exam Name: | Cognitive Project Management in AI (CPMAI) / PMI-CPMAI Certification Exam |
| Exam Number: | PMI-CPMAI |
| Available Languages: | English |
| Exam Duration: | 160 minutes |
| Exam Format: | Multiple-choice (single best answer), Scenario-based questions |
| Real Exam Qty: | 120 (100 scored, 20 unscored) |
| Certificate Validity Period: | 3 years (renewal requires 30 PDUs) |
| Recommended Training: | PMI CPMAI Training and Exam Prep |
| Exam Registration: | PMI Certification Portal |
| Sample Questions: | PMI CPMAI Sample Questions |
| Exam Way: | Online proctored exam or authorized testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisite; project management or AI/data experience recommended |
| Official Syllabus URL: | https://www.pmi.org/ |
| Section | Weight | Objectives |
|---|---|---|
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| AI Operationalization and Governance | - Deployment and lifecycle management
| |
| Data Preparation for AI | - Data cleaning and transformation
| |
| Data for AI | - Data identification and governance
| |
| AI Model Development and Iteration | - Model building and validation
| |
| AI System Testing and Evaluation | - Model evaluation and monitoring
|
1. A project manager is evaluating the readiness of the team for an AI operationalization project.
They have identified a lack of experience with AI and data knowledge. If this issue is neglected, what is the outcome?
A) The project will proceed smoothly with existing knowledge.
B) The project will require frequent adjustments to the AI models.
C) The project will face significant delays due to learning curves.
D) The project will achieve its objectives with external consultant help.
2. The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees. Your model is provided the following:
A) True Negative results
B) True Positive results
C) False Positive results
D) False Negative results
3. Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?
A) Unsupervised Learning
B) All would work equally well
C) Reinforcement Learning
D) Supervised Learning
4. In a logistics project, a company is integrating an AI-driven supply chain optimization tool. The project manager needs to address the risk of external dependencies affecting project success.
Which method is a next step for the project manager?
A) Negotiating long-term contracts with reliable third-party vendors
B) Establishing contingency plans for critical external dependencies
C) Developing a comprehensive risk matrix to monitor external dependencies
D) Conducting regular audits of third-party vendor performance and compliance
5. A company has recently received a large number of spam emails. Some employees have been clicking on the suspicious emails causing challenges for their IT department. The head of IT wants to create a more robust spam filter and has tasked a team with this project. Which type of algorithm should the project team use?
A) Binary (or Binomial) Classification
B) Multiclass Classification
C) Clustering
D) Regression
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |
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