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CPMAI Cognitive Project Management in AI Practice Tests
New
100 students

CPMAI Cognitive Project Management in AI Practice Tests

4 timed practice exams, 200 original questions with detailed explanations, for the PMI-CPMAI exam.
Created byZach Zang
Last updated 9/2026
English

What you'll learn

  • Master the six PMI-CPMAI domains: AI fundamentals, methodology, machine learning, data for AI, managing AI, and trustworthy AI
  • Practice 200 original questions across four 50-question timed exams with detailed explanations
  • Apply the six-phase CPMAI lifecycle and its Go No-Go assessments to realistic AI project scenarios
  • Identify weak domains before exam day and build confidence through review of every explanation

Included in This Course

200 questions
  • CPMAI Practice Exam 250 questions
  • CPMAI Practice Exam 350 questions
  • CPMAI Practice Exam 450 questions
  • CPMAI Practice Exam 150 questions

Description

This course contains the use of artificial intelligence.


From John Swartz, CCIE #4426, founder of Boson (1999).


The PMI-CPMAI (Cognitive Project Management in AI) v7 certification tests whether you can run an AI project end to end - not just build a model, but manage the business case, data, deployment and governance around it. This course gives you 200 original practice questions across four full-length, timed practice exams of 50 questions each.


Every question carries a detailed explanation covering why the correct answer is right and why the distractors are wrong, so a wrong answer teaches you something instead of just costing you a point.


The question split covers all six CPMAI domains:


Domain 1: AI Fundamentals - core AI/AGI/cognitive-computing concepts, the seven patterns of AI, and machine learning fundamentals

Domain 2: CPMAI Methodology - why AI projects differ from traditional software projects, and the six-phase lifecycle (Business Understanding, Data Understanding, Data Preparation, Model Development, Model Evaluation, Operationalization) with Go/No-Go assessments at each phase

Domain 3: Machine Learning - classification and clustering, neural networks and deep learning, generative AI and large language models, and ML tools and platforms

Domain 4: Data for AI - Big Data concepts, data governance, data pipelines, and data preparation and transformation

Domain 5: Managing AI - model performance evaluation and production deployment

Domain 6: Trustworthy AI - ethics, privacy, security, transparency, and AI regulation


Every question is framed inside Meridian Regional Airlines, a mid-size regional carrier running AI initiatives across predictive maintenance, crew and gate scheduling, customer-service chat, loyalty-program fraud detection, demand forecasting, computer-vision ramp safety, and a generative-AI knowledge assistant for maintenance and dispatch documentation - so the questions test judgment on a realistic scenario, not just recall.


Each exam is timed and scored so you can rehearse pacing under pressure, and retake it as often as you like.


Who this is for: project managers and business analysts adding AI delivery to their skill set; data scientists and ML engineers who need the project-management and governance side; PMI-CPMAI candidates who want practice across all six domains before exam day.


These questions are original practice material and are NOT actual exam questions or brain-dump content. All vendor marks are trademarks of their respective owners. This course is not affiliated with, endorsed by, or sponsored by PMI.

Who this course is for:

  • PMI-CPMAI exam candidates preparing for exam day
  • Project managers and business analysts adding AI delivery to their skill set
  • Data scientists and ML engineers who need the project-management and governance side of AI work