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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 |
| Data for AI | 13% | - DataOps concepts - Data strategy and governance - Data preparation and preprocessing |
| CPMAI Methodology | 41% | - Phase I: Problem Identification
|
| Trustworthy AI | 9% | - Privacy and security - Ethical considerations and bias - Transparency and explainability |
| Managing AI | 8% | - Risk management in AI projects - Stakeholder management - Managing AI project teams and resources |
| AI Fundamentals | 16% | - AI capabilities and limitations - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. Which of the following best describes the technical definition of Machine Learning?
A) The use of computing technology to enable machines to gain cognitive intelligence.
B) A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.
C) An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.
D) The application of pre-defined rules and algorithms to solve complex problems.
2. 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 V
C) Phase II
D) Phase III
E) Phase I
F) Phase IV
3. Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?
A) Naive Bayes
B) Support Vector Machines (SVM)
C) Gaussian Mixture
D) Neural Networks
4. Humans have an innate capability that cognitive machines have not been able to replicate. What illustrates the core aspect of human intelligence related to the ability to adapt to new situations?
A) Manipulating the environment through random action.
B) Applying past experiences to solve unfamiliar problems.
C) Processing large volumes of information quickly.
D) Performing tasks based on symbolic reasoning.
5. During which phase of an AI project should you consider Trustworthy AI considerations?
A) Phase II: Data Understanding
B) Every Phase of the AI project
C) Phase VI: Model Operationalization
D) Phase I: Business Understanding
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: E | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |






