PMI CPMAI Answers Free & CPMAI Exam Details

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PMI CPMAI Exam Syllabus Topics:

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

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                          CPMAI Exam Details, Associate CPMAI Level Exam

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q137-Q142):

                          NEW QUESTION # 137
                          The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

                          Answer: C


                          NEW QUESTION # 138
                          A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.
                          What's the next best course of action?

                          Answer: D


                          NEW QUESTION # 139
                          A project team is preparing to move to the next phase of their AI project. The team needs to ensure that all transparency and explainability requirements are met. Which activity should the project team perform?

                          Answer: C

                          Explanation:
                          Documenting the decision-making process of the AI model directly supports transparency and explainability by showing how inputs are used, how outputs are generated, and how decisions can be reviewed or justified before moving to the next project phase.


                          NEW QUESTION # 140
                          Your team is planning an AI enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the AI Go/No Go feasibility questions. What stage of CPMAI is the team currently working on?

                          Answer: A

                          Explanation:
                          Phase I of CPMAI focuses on business understanding, including assessing AI project feasibility through Go/No Go decisions before development begins.


                          NEW QUESTION # 141
                          Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
                          What is the best course of action to take with this data?

                          Answer: B


                          NEW QUESTION # 142
                          ......

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