Quiz 2026 CPMAI: Cognitive Project Management in AI (PMI-CPMAI) Latest Test Cram Review

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PMI CPMAI Exam Syllabus Topics:

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

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q95-Q100):

                          NEW QUESTION # 95
                          You just joined a new company and they want to start their first AI project. Senior management thinks the best approach is to just buy AI from a vendor. You know that AI is something you do, not something you buy.
                          What is your next best course of action to address this?

                          Answer: A


                          NEW QUESTION # 96
                          The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

                          Answer: A


                          NEW QUESTION # 97
                          A capital markets firm is exploring the use of AI to enhance its trading algorithms. The firm expects the AI solution will increase trading accuracy and profitability. The project manager needs to create a business case to justify the AI investment. Which method will provide results that meet the firm's goals and objectives?

                          Answer: A

                          Explanation:
                          Developing a financial impact assessment quantifies the expected costs, benefits, profitability improvements, and return on investment from the AI trading solution. This directly supports the business case by showing whether the investment aligns with the firm's goals for increased trading accuracy and financial performance.


                          NEW QUESTION # 98
                          A project manager is overseeing the development of an AI system and is concerned about maintaining user privacy. The project involves collecting sensitive user data with potential legal and compliance issues to consider.
                          What should the project manager prioritize to help ensure the AI system adheres to privacy requirements?

                          Answer: D

                          Explanation:
                          Regular privacy impact assessments help identify how sensitive data is collected, processed, stored, and used, while evaluating associated privacy risks against applicable legal and regulatory requirements. This enables the project team to maintain ongoing compliance throughout the AI system's lifecycle.


                          NEW QUESTION # 99
                          A team is retraining a model and creating a new version of that model. What's the most important thing for the team to have in place before doing this?

                          Answer: B


                          NEW QUESTION # 100
                          ......

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