CPMAI関連受験参考書 & CPMAI試験問題

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PMI CPMAI Exam Syllabus Topics:

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

                          >> CPMAI関連受験参考書 <<

                          PMI CPMAI試験問題、CPMAI学習資料

                          PMI人が職場や学校で高い生産性を備えている場合、最終的にCPMAI試験で成功することは避けられません。あなたもそう。 CPMAIの実際の試験を購入するお客様との永続的かつ持続可能な協力関係があります。学習プロセス中の知識のギャップを埋めるためにCPMAI学習教材を改修および更新し、CPMAI試験の自信と成功率を高めるように最善を尽くします。

                          PMI Cognitive Project Management in AI (PMI-CPMAI) 認定 CPMAI 試験問題 (Q64-Q69):

                          質問 # 64
                          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?

                          正解：A


                          質問 # 65
                          Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
                          What role would be most suited for this?

                          正解：C


                          質問 # 66
                          Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be. What should the project manager do?

                          正解：C

                          解説：
                          Identifying the AI pattern early helps guide data collection and team skill requirements, ensuring the project is aligned with the correct technical approach and business goals.


                          質問 # 67
                          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?

                          正解：A

                          解説：
                          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.


                          質問 # 68
                          Your team is looking to develop an RPA bot to help with back-office processes such as data entry.
                          What type of bot should your team be creating?

                          正解：C


                          質問 # 69
                          ......

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