PMI Certification CPMAI Training Exam | Best Way to Pass PMI CPMAI

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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identify Business Needs and Solutions26%- Problem framing and business alignment
  • 1. Feasibility and ROI analysis
    • 2. Define AI business objectives
      Topic 2: Data for AI- Data identification and governance
      • 1. Data compliance and ethics
        • 2. Data sourcing and selection
          Topic 3: AI System Testing and Evaluation- Model evaluation and monitoring
          • 1. Performance evaluation and drift detection
            • 2. Explainability and reliability assessment
              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 Operationalization and Governance- Deployment and lifecycle management
                  • 1. Continuous improvement and monitoring
                    • 2. AI governance and responsible AI
                      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 (Q275-Q280):

                          NEW QUESTION # 275
                          During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates. Which action will identify the cause of the performance decline?

                          Answer: B


                          NEW QUESTION # 276
                          Your team is trying to determine which pattern best fits their AI problem. To do this the project team is running through the seven patterns of AI to figure out what pattern best applies to their problem. Which of the following is the best approach?

                          Answer: A

                          Explanation:
                          Identifying the specific goal of the project and matching it to the appropriate AI pattern(s) ensures the solution aligns with the problem's needs and maximizes effectiveness.


                          NEW QUESTION # 277
                          An inexperienced team is training a neural network model on a desktop computer and this is taking a significant amount of time. What would you recommend to them to speed up model training?

                          Answer: D


                          NEW QUESTION # 278
                          You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique. What is this technique called?

                          Answer: C

                          Explanation:
                          Transfer Learning involves leveraging a model trained on one task (e.g., car recognition) and adapting it to a related task (e.g., animal recognition), significantly reducing development time and resources.


                          NEW QUESTION # 279
                          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: A

                          Explanation:
                          Model governance ensures proper version control, documentation, and compliance, which are critical before retraining and deploying new model versions.


                          NEW QUESTION # 280
                          ......

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