PMI CPMAI Exam Details & Actual Exam Questions

  • Exam Code/Number: CPMAI
  • Exam Name/Title: Cognitive Project Management in AI (PMI-CPMAI)
  • Certification Provider: PMI
  • Corresponding Certification: CPMAI
  • Exam Questions: 110
  • Updated On: Jul,04 2026
  • Certification Level: Professional

PMI Cognitive Project Management in AI (PMI-CPMAI) Exam Questions

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PMI CPMAI Exam Overview:

Certification Vendor:Project Management Institute (PMI)
Exam Name:Cognitive Project Management in AI (CPMAI) / PMI-CPMAI Certification Exam
Exam Number:PMI-CPMAI
Exam Format:Multiple-choice (single best answer), Scenario-based questions
Exam Duration:160 minutes
Available Languages:English
Real Exam Qty:120 (100 scored, 20 unscored)
Certificate Validity Period:3 years (renewal requires 30 PDUs)
Sample Questions:PMI CPMAI Sample Questions
Exam Way:Online proctored exam or authorized testing center (Pearson VUE)
Pre Condition:No formal prerequisite; project management or AI/data experience recommended
Official Syllabus URL:https://www.pmi.org/

PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI System Testing and Evaluation- Model evaluation and monitoring
  • 1. Performance evaluation and drift detection
    • 2. Explainability and reliability assessment
      Topic 2: Data Preparation for AI- Data cleaning and transformation
      • 1. Feature engineering and preparation
        • 2. Data quality assurance
          Topic 3: AI Operationalization and Governance- Deployment and lifecycle management
          • 1. AI governance and responsible AI
            • 2. Continuous improvement and monitoring
              Topic 4: Data for AI- Data identification and governance
              • 1. Data sourcing and selection
                • 2. Data compliance and ethics
                  Topic 5: AI Model Development and Iteration- Model building and validation
                  • 1. Iterative delivery approach
                    • 2. Machine learning / generative AI model development
                      Topic 6: Identify Business Needs and Solutions26%- Problem framing and business alignment
                      • 1. Feasibility and ROI analysis
                        • 2. Define AI business objectives


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