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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
      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
                  AI Model Development and Iteration- Model building and validation
                  • 1. Iterative delivery approach
                    • 2. Machine learning / generative AI model development
                      Data for AI- Data identification and governance
                      • 1. Data sourcing and selection
                        • 2. Data compliance and ethics

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q191-Q196):

                          NEW QUESTION # 191
                          You are working for a large multinational organization and have been assigned to a new project.
                          For your new ML project, you need to make sure you're managing data privacy and security as you're working with sensitive customer data. What critical security issues do you need to make sure you address? (Choose all that apply.)

                          Answer: A,B,C,D

                          Explanation:
                          Managing sensitive customer data requires comprehensive security measures, including compliance with data privacy laws regardless of location, securing both model data and metadata, protecting data at rest, and ensuring secure storage of all training data.


                          NEW QUESTION # 192
                          A consulting firm is preparing data for an AI-driven customer segmentation model. They need to verify data quality before data preparation. What should the project manager do first?

                          Answer: D

                          Explanation:
                          Assessing data completeness should be done first because the team must verify whether the customer data contains the required fields, records, and coverage before cleaning, enhancing, labeling, or preparing it for the segmentation model.


                          NEW QUESTION # 193
                          A project manager overseeing an AI project is concerned about potential data breaches. They need to establish a robust privacy and security plan. Where should the plan primarily focus to minimize risk?

                          Answer: C

                          Explanation:
                          A robust privacy and security plan should primarily establish stringent access control policies so that sensitive AI project data is accessible only to authorized users based on defined roles and permissions. This directly reduces the risk of unauthorized access and potential data breaches.


                          NEW QUESTION # 194
                          A project manager is considering different project management approaches for an AI solution deployment. They need to ensure the approach allows for iterative improvements and accommodates changing requirements. Which approach is effective in this situation?

                          Answer: B

                          Explanation:
                          An adaptive/agile approach supports iterative development, frequent feedback, and ongoing refinement. This is effective for AI solution deployment because model behavior, data needs, stakeholder expectations, and operational requirements may change as the project progresses.


                          NEW QUESTION # 195
                          During CPMAI Phase II of your project, your team is going through their data collection needs.
                          One team member wants to make use of pre-trained models while another member is adamantly against it.
                          As the project lead, what should you do?

                          Answer: A


                          NEW QUESTION # 196
                          ......

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