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PMI CPMAI Exam Syllabus Topics:

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

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                          Latest Released PMI Latest CPMAI Test Online: Cognitive Project Management in AI (PMI-CPMAI) | CPMAI Reliable Braindumps Sheet

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q151-Q156):

                          NEW QUESTION # 151
                          A project team is preparing to move to the next phase of implementation with an AI system.
                          However, they are unsure about the system's transparency requirements. Which next step should the project manager prioritize?

                          Answer: B

                          Explanation:
                          Reviewing existing transparency standards and guidelines should be prioritized because the team must first understand the applicable expectations, regulatory requirements, and accepted practices before defining documentation, reporting, or stakeholder processes for the next phase.


                          NEW QUESTION # 152
                          A project team is overseeing the data evaluation for an AI model predicting customer churn. They observed that the model's predictions are biased toward a particular class.
                          What is an effective technique to mitigate this bias?

                          Answer: C

                          Explanation:
                          Stratified sampling preserves appropriate class proportions when creating training or evaluation subsets. This helps ensure that each class is adequately represented, reducing class-related sampling bias and producing a more balanced assessment of the churn model.


                          NEW QUESTION # 153
                          An aerospace company is planning to integrate AI for predictive maintenance. The project team needs to identify which parts of the project require cognitive AI solutions. Which method should the project manager perform to meet the objective?

                          Answer: B

                          Explanation:
                          Conducting workshops with domain experts helps identify which predictive maintenance activities require cognitive AI capabilities, such as anomaly detection, failure prediction, and pattern recognition. Domain experts can map dependencies, clarify operational needs, and separate AI- suitable tasks from tasks that can be handled through traditional methods.


                          NEW QUESTION # 154
                          A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
                          What is a necessary initial task?

                          Answer: D

                          Explanation:
                          Identifying the primary stakeholders and their needs is a necessary initial task because the project manager must understand the business, regulatory, operational, security, and user requirements before determining whether the AI fraud detection solution should proceed.


                          NEW QUESTION # 155
                          An IT services company is operationalizing an AI-based customer service chatbot. The project manager needs to track the workflow of key resources such as natural language processing experts, cloud computing resources, and integration specialists. What will enable the project manager to visualize and manage the cadence of resource activities?

                          Answer: C

                          Explanation:
                          A kanban board visually tracks resource activities, work stages, and task flow across specialists and technical resources. It helps the project manager manage cadence, identify bottlenecks, and coordinate ongoing chatbot operationalization work.


                          NEW QUESTION # 156
                          ......

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