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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation |
| Topic 2: Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Define data requirements and sources - Ensure data quality, privacy, security, and compliance |
| Topic 3: Operationalize AI Solution | 17% | - Deploy AI systems into production - Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes |
| Topic 4: Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions |
| Topic 5: 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. Accompany wants to determine whether to move forward with an AI project. The project manager has answered and received approval for all questions on technology, data, and business feasibility. Which activity did the project manager perform?
A) Operationalized a pilot version
B) Developed initial machine learning models
C) Conducted a go/no-go assessment
D) Data collection and aggregation
2. When looking to implement AI to help break the Digital Transformation logjam, it's important to:
A) Have the right culture for AI
B) Invest in technology solutions to solve the problem
C) Start with basic automation and introduce AI only as needed
D) Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non digital processes
3. Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?
A) All would work equally well
B) Supervised Learning
C) Reinforcement Learning
D) Unsupervised Learning
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) Performing tasks based on symbolic reasoning.
C) Processing large volumes of information quickly.
D) Applying past experiences to solve unfamiliar problems.
5. A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?
A) Assessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
B) Evaluating expertise with existing data architectures and their ability to optimize databases
C) Examining their expertise in neural network calibration and hyperparameter tuning
D) Conducting interviews to assess their knowledge in anomaly detection
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |






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