PMI CPMAI valid exam dumps : Cognitive Project Management in AI (PMI-CPMAI)

Exam Code: CPMAI
Exam Name: Cognitive Project Management in AI (PMI-CPMAI)
Updated: Oct 07, 2026
Q&As: 324 Questions and Answers

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PMI CPMAI Exam Syllabus Topics:

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

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

Question #1

An aerospace company is planning to integrate AI for predictive maintenance. The project team needs to identify which parts of the project require cognitive AI solutions. Which method should the project manager perform to meet the objective?

A. Employing a multicriteria decision analysis tool to categorize AI project components
B. Conducting a series of workshops with domain experts to map out AI dependencies
C. Utilizing an AI-driven workflow engine to automate project segmentation
D. Implementing a rule-based system to classify AI project elements based on predefined criteria

Reveal Solution Discussion 0

Correct Answer: B 🗳️