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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning |
| Trustworthy AI | 9% | - Privacy and security - Ethical considerations and bias - Transparency and explainability |
| Data for AI | 13% | - Data strategy and governance - Data preparation and preprocessing - DataOps concepts |
| Managing AI | 8% | - Risk management in AI projects - Managing AI project teams and resources - Stakeholder management |
| AI Fundamentals | 16% | - Types of AI and Machine Learning - AI capabilities and limitations - Concepts and terminology of Artificial Intelligence |
| CPMAI Methodology | 41% | - Phase III: Algorithm Selection & Model Training
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. Your team is planning an AI enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions. What stage of CPMAI is the team currently working on?
A) Phase VI
B) Phase IV
C) Phase III
D) Phase I
E) Phase II
F) Phase V
2. You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results. What's your best course of action?
A) Keep going as planned and the problem will eventually correct itself
B) Try to get additional data - at least 5 training examples for each dimension in the representation
C) Try to improve the quality of your data through more preparation
D) Try to get additional information from project lead to see how many examples per dimension are needed
3. A government health agency is considering the implementation of AI to predict disease outbreaks. The project manager needs to determine whether AI is the right solution to address their needs. The solution must analyze large datasets from various regions and provide accurate predictions without overwhelming the system. In addition, the agency has non-Al alternatives such as traditional statistical models. What is a necessary initial task the project manager should perform?
A) Assessing the agency's current technological infrastructure
B) Determining the data sources and their reliability
C) Evaluating whether the AI system can scale effectively
D) Identifying which parts of the problem require cognitive solutions
4. An organization aims to improve transparency and trust in its AI systems. Stakeholders request documentation outlining model purpose, limitations, risks, and performance characteristics. Which artifact should the project manager ensure is created and maintained?
A) Data pipeline diagram
B) Source code repository
C) Model card
D) Deployment script
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) Multiclass Classification
B) Clustering
C) Regression
D) Binary (or Binomial) Classification
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |


