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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing AI | 8% | - Risk management in AI projects - Managing AI project teams and resources - Stakeholder management |
| Machine Learning | 13% | - Deep Learning and Neural Networks - Algorithms and models (e.g., NLP, Computer Vision) - Supervised, Unsupervised, and Reinforcement Learning |
| CPMAI Methodology | 41% | - Phase III: Algorithm Selection & Model Training
|
| AI Fundamentals | 16% | - AI capabilities and limitations - Types of AI and Machine Learning - Concepts and terminology of Artificial Intelligence |
| Trustworthy AI | 9% | - Privacy and security - Transparency and explainability - Ethical considerations and bias |
| Data for AI | 13% | - Data strategy and governance - Data preparation and preprocessing - DataOps concepts |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?
A) Responsible AI
B) Ethical AI
C) Explainable AI
D) Transparent AI
E) Governed AI
2. Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't using the application as expected. What could have been done better to get the team to feel comfortable with this technology and use it? (Choose all that apply.)
A) Have upper management relay to employees this tool is to augment, and not replace their jobs.
B) Ask end users what information and technology they need to help them do their job better and build the tool to help with these pain points.
C) Have the team that built the technology to relay to employees this tool is to augment, and not replace their jobs.
D) Provide training for everyone to have all employees feel more comfortable using the technology even if they aren't using the technology yet.
3. A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
What is a necessary initial task?
A) Determining the scalability of AI solutions for transaction monitoring
B) Assessing the ethical implications of using AI for fraud detection
C) Evaluating the accuracy of current fraud detection methods
D) Identifying the primary stakeholders and their needs
4. A logistics company is operationalizing an AI solution to optimize delivery routes. The project manager needs to gather up-to-date information on traffic patterns, delivery schedules, and vehicle performance. Which method will integrate these diverse data types?
A) Adopting a federated data model
B) Building a unified data warehouse
C) Using an extraction, transformation, and loading (ETL) pipeline
D) Implementing a real-time data processing framework
5. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error" Which type of machine learning approach is being leveraged for this exercise?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) All would work equally well
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |


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