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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Data for AI- Data identification and governance
  • 1. Data sourcing and selection
    • 2. Data compliance and ethics
      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. Define AI business objectives
            • 2. Feasibility and ROI analysis
              AI Model Development and Iteration- Model building and validation
              • 1. Machine learning / generative AI model development
                • 2. Iterative delivery approach
                  Data Preparation for AI- Data cleaning and transformation
                  • 1. Data quality assurance
                    • 2. Feature engineering and preparation
                      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 (Q265-Q270):

                          NEW QUESTION # 265
                          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: B

                          Explanation:
                          GPUs are specifically designed for parallel processing, significantly accelerating neural network training compared to CPUs in desktop computers.


                          NEW QUESTION # 266
                          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: B


                          NEW QUESTION # 267
                          An AI project team has identified a gap in their data knowledge and experience. They need to address this issue in order to proceed with their AI implementation. What is the effective solution?

                          Answer: B

                          Explanation:
                          Hiring an external data consultant provides immediate targeted expertise to address the team's data knowledge and experience gap. The consultant can guide the team on data quality, preparation, governance, and implementation practices while also helping build internal capability through training.


                          NEW QUESTION # 268
                          Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model.
                          What critical error did your team make?

                          Answer: D


                          NEW QUESTION # 269
                          A government agency is developing an AI system to predict infrastructure failures. The data team needs to ensure that the dataset includes historical maintenance records, environmental data, and equipment usage logs. However, they are encountering issues with data from multiple sources being in different formats. Which two methods should be applied to meet the data team's objectives? (Choose two.)

                          Answer: B,E

                          Explanation:
                          A multiformat data integration tool helps combine maintenance records, environmental data, and equipment usage logs from different systems and formats. A data normalization process then standardizes those inputs into consistent structures and values so the dataset can be used reliably for AI model development.


                          NEW QUESTION # 270
                          ......

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