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PMI CPMAI Exam Syllabus Topics:

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

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q212-Q217):

                          NEW QUESTION # 212
                          Your team is working on an AI system to provide a more personalized experience for customers on your website. What should the team do in regard to determining the pattern of AI with regards to the ROI of the project?

                          Answer: C

                          Explanation:
                          Defining the project's objective or desired ROI first guides the selection of the appropriate AI pattern, ensuring the solution aligns with business value and goals.


                          NEW QUESTION # 213
                          In a government project to develop an AI solution for optimizing public transportation schedules, it is crucial to determine the specific cognitive tasks that the AI will perform. The project manager needs to distinguish between tasks that require AI and those that do not.
                          Which approach should the project manager use to identify these tasks?

                          Answer: B

                          Explanation:
                          A detailed workflow analysis helps the project manager examine each process step, identify where cognitive capabilities such as prediction, reasoning, recognition, or decision-making are required, and separate those tasks from activities that can be handled through conventional automation or standard processes.


                          NEW QUESTION # 214
                          A project manager is considering different project management approaches for an AI solution deployment. They need to ensure the approach allows for iterative improvements and accommodates changing requirements. Which approach is effective in this situation?

                          Answer: D

                          Explanation:
                          An adaptive/agile approach supports iterative development, frequent feedback, and ongoing refinement. This is effective for AI solution deployment because model behavior, data needs, stakeholder expectations, and operational requirements may change as the project progresses.


                          NEW QUESTION # 215
                          You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?

                          Answer: D

                          Explanation:
                          Transparent AI includes mechanisms that allow users to understand and contest AI decisions, ensuring openness and accountability in the system.


                          NEW QUESTION # 216
                          Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your workflow pipeline?

                          Answer: D


                          NEW QUESTION # 217
                          ......

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