PMI CPMAI : Cognitive Project Management in AI (PMI-CPMAI)

Exam Code: CPMAI
Exam Name: Cognitive Project Management in AI (PMI-CPMAI)
Updated: Sep 30, 2026
Q & A: 324 Questions and Answers

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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
AI Fundamentals	16%	- Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning - AI capabilities and limitations
Data for AI	13%	- DataOps concepts - Data preparation and preprocessing - Data strategy and governance
Machine Learning	13%	- Supervised, Unsupervised, and Reinforcement Learning - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks
Managing AI	8%	- Managing AI project teams and resources - Risk management in AI projects - Stakeholder management
CPMAI Methodology	41%	- Phase II: Data Identification & Curation 1. Assess data readiness and quality 2. Identify data needs - Phase V: Operationalization 1. Plan for deployment and integration 2. Define success criteria and monitoring - Phase IV: Model Evaluation 1. Evaluate model performance against metrics 2. Oversee AI/ML model QA/QC - Phase VI: Iteration & Monitoring 1. Retraining and model drift management 2. Continuous monitoring and iteration - Phase III: Algorithm Selection & Model Training 1. Manage model training and configuration 2. Oversee AI/ML model technique selection - Phase I: Problem Identification 1. Identify business needs and solutions 2. Evaluate initial AI feasibility
Trustworthy AI	9%	- Ethical considerations and bias - Privacy and security - Transparency and explainability

PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

Question #1

An AI project team needs to assess the feasibility of an AI solution. In order to proceed with the AI project, what should the project manager address?

A. Alignment with business objectives
B. Complexity of operationalization
C. Potential vendor costs
D. Projected data debt

Reveal Solution Discussion 0

Correct Answer: A 🗳️