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

Exam Code: CPMAI

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

Updated: Oct 01, 2026

Q & A: 324 Questions and Answers

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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Identify Data Needs	26%	- Ensure data quality, privacy, security, and compliance - Define data requirements and sources - Plan data collection, storage, and infrastructure
Topic 2: 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 3: Operationalize AI Solution	17%	- Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production
Topic 4: Manage AI Model Development and Evaluation	16%	- Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations
Topic 5: Support Responsible and Trustworthy AI Efforts	15%	- Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability

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

Question #1

A manufacturing firm plans to use AI to predict equipment failures. The team can access sensor data but it contains many missing values and out-of-range readings. What should the project manager prioritize first?

A. Deploy the model quickly and fix issues later
B. Focus only on UI design for the dashboard
C. Data understanding and quality assessment to characterize missingness and anomalies
D. Ignore the sensor data and use only expert opinion

Reveal Solution Discussion 0

Correct Answer: C 🗳️