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PMI CPMAI Exam Syllabus Topics:

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

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q284-Q289):

                          NEW QUESTION # 284
                          Senior management has tasked your group to analyze a data set to uncover insights into the data. What is the best approach to use to do this?

                          Answer: B

                          Explanation:
                          Data mining or data analytics focuses on analyzing datasets to discover patterns, relationships, and insights.


                          NEW QUESTION # 285
                          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: B

                          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 # 286
                          Use cognitive technologies/AI when you can't code the rules or you can't scale easily with people or automation. As a good rule of thumb when deciding if AI is right for the project you should:

                          Answer: B


                          NEW QUESTION # 287
                          You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

                          Answer: A

                          Explanation:
                          K Nearest Neighbor is well-suited for recommendation systems as it identifies similar customers based on purchasing behavior to suggest products.


                          NEW QUESTION # 288
                          The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees. Your model is provided the following:

                          Answer: C

                          Explanation:
                          Incorrectly categorizing flowers as trees represents false positives - instances where the model incorrectly predicts the positive class when it should not.


                          NEW QUESTION # 289
                          ......

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