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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Trustworthy AI | 9% | - Transparency and explainability - Privacy and security - Ethical considerations and bias |
| AI Fundamentals | 16% | - Types of AI and Machine Learning - Concepts and terminology of Artificial Intelligence - AI capabilities and limitations |
| CPMAI Methodology | 41% | - Phase III: Algorithm Selection & Model Training
|
| Managing AI | 8% | - Stakeholder management - Managing AI project teams and resources - Risk management in AI projects |
| Data for AI | 13% | - Data preparation and preprocessing - DataOps concepts - Data strategy and governance |
| Machine Learning | 13% | - Supervised, Unsupervised, and Reinforcement Learning - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. A project team is using a generative AI assistant to draft stakeholder communications. The drafts are often generic and miss project constraints. What is the most likely cause?
A) The tool requires more compute
B) The team is over-monitoring outputs
C) The prompts provide insufficient context and constraints
D) The model is too efficient
2. 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) Limited awareness of explainability requirements
B) Lack of a detailed plan addressing a governance strategy
C) Overlooking algorithmic bias and fairness concerns
D) Failure to implement robust encryption for data security
3. 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?
A) Creating separate documentation protocols for cognitive and non-cognitive parts
B) Using a centralized documentation system accessible to all team members
C) Implementing periodic documentation reviews by the project manager
D) Assigning documentation responsibilities to a dedicated documentation team
4. A project manager is considering different project management approaches for an AI solution deployment. They need to ensure the approach allows for iterative improvements and accommodates changing requirements. Which approach is effective in this situation?
A) Hybrid
B) Adaptive/agile
C) Incremental
D) Predictive
5. Your team is testing the NLP model they just created to make sure it's performing as expected.
Some of your team members want to move this model to production and move to the next iteration. What's wrong with this workflow?
A) You need to make sure the AI Go/No Go questions have been addressed
B) Team members should not be able to move to new projects until senior management signs off
C) Model Evaluation requires continuous model evaluation, retraining, and operationalization
D) Nothing is wrong with this workflow. You can move to the next iteration
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |







