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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation for AI- Data cleaning and transformation
  • 1. Data quality assurance
    • 2. Feature engineering and preparation
      AI Operationalization and Governance- Deployment and lifecycle management
      • 1. Continuous improvement and monitoring
        • 2. AI governance and responsible AI
          AI Model Development and Iteration- Model building and validation
          • 1. Iterative delivery approach
            • 2. Machine learning / generative AI model development
              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 System Testing and Evaluation- Model evaluation and monitoring
                      • 1. Explainability and reliability assessment
                        • 2. Performance evaluation and drift detection

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q115-Q120):

                          NEW QUESTION # 115
                          You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project.
                          Which phase best describes the work you are performing?

                          Answer: E


                          NEW QUESTION # 116
                          Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

                          Answer: C

                          Explanation:
                          Neural networks typically require more training time, computational resources, and complexity compared to other algorithms, making them less suitable when training time, cost, and complexity are major constraints.


                          NEW QUESTION # 117
                          You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn't want you to create anything too complicated, and you have a limited data set to work with.
                          Which algorithm is the best choice given these constraints?

                          Answer: C


                          NEW QUESTION # 118
                          An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model. Which activity should the project manager implement?

                          Answer: A

                          Explanation:
                          Developing a comprehensive data collection strategy defines what aircraft sensor, maintenance, operational, failure, and environmental data is required to train the predictive maintenance model.
                          This ensures the model is built from relevant and sufficient data before later preparation, streaming, or testing activities begin.


                          NEW QUESTION # 119
                          Eight months after deployment, a credit risk model's performance has gradually degraded. The input data pipeline is functioning correctly, but economic conditions have changed significantly since training.
                          What is the most likely cause?

                          Answer: B

                          Explanation:
                          Concept drift occurs when the statistical relationship between input features and the target variable changes over time. Because the model encodes historical relationships, shifting economic conditions invalidate its learned patterns and require retraining on current data.


                          NEW QUESTION # 120
                          ......

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