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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance - Define data requirements and sources |
| Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations |
| Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production - Manage change, adoption, and governance post-launch |
| Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions |
| Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. 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) False Negative results
C) False Positive results
D) True Positive results
2. An inexperienced team is training a neural network model on a desktop computer which is taking a significant amount of time. Which recommended approach will increase the speed of the model training time?
A) Train the model on graphics processing units (GPUs).
B) Train the model over multiple desktop computers.
C) Utilize a contractor to provide the model training portion.
D) Divide the dataset into multiple smaller datasets and train the model on each dataset over a desktop computer.
3. An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?
A) Use a contractor to do the training portion
B) Train the model on GPUs
C) Break the dataset up into multiple smaller datasets and train the model on each of the smaller datasets over a desktop computer
D) Train the model over multiple desktop computers
4. Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned. What would likely have helped avoid this conflict?
A) Applying a hybrid approach of automation and AI best practices would have achieved better results.
B) Senior management should become involved in the project.
C) Everyone on the team should understand the differences between automation and autonomous systems.
D) Nothing - running automation projects like autonomous projects is the correct thing to do.
5. During the transition to an AI solution, the project manager discovers that certain tasks may not require cognitive Al capabilities and can be handled through traditional automation methods. As a result, the project team starts segregating tasks based on their cognitive requirements. What should the team consider?
A) Assessing traditional task complexity
B) Applying AI capabilities for noncognitive tasks
C) Proceeding with intelligent functionalities
D) Utilizing traditional automation solutions
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |
