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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
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
          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
                  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. Data quality assurance
                        • 2. Feature engineering and preparation

                          >> CPMAI Valid Study Questions <<

                          Pass Guaranteed 2026 CPMAI: Cognitive Project Management in AI (PMI-CPMAI) Fantastic Valid Study Questions

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                          PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q66-Q71):

                          NEW QUESTION # 66
                          You are leading a project to develop a new predictive maintenance solution. Together with your project team you determine your data needs, see if you have access to the data, and then begin working on the project. Which phase best describes the work you are performing?

                          Answer: A


                          NEW QUESTION # 67
                          A project team needs to determine whether to proceed with an AI/machine learning (ML) project by examining various factors. Which factor should be evaluated by the project manager first?

                          Answer: C

                          Explanation:
                          Business objective alignment should be evaluated first because an AI/ML project must address a clearly defined organizational need and deliver measurable business value. Technical decisions such as model selection, data preparation, and optimization should follow only after the project's objectives and expected outcomes are established.


                          NEW QUESTION # 68
                          A retail bank wants to reduce fraudulent transactions by detecting unusual card activity in near real time. Which AI capability should be used?

                          Answer: A

                          Explanation:
                          PMI's Seven Patterns of AI describes Predictive analytics & decision support as using data-driven learning to anticipate outcomes and support decisions under uncertainty. Fraud detection is a classic predictive use case: the system analyzes historical and current transaction behaviors to estimate the probability of fraud and recommend actions (approve, decline, escalate). In CPMAI- aligned delivery, the project manager ensures the AI capability matches the business objective and defines measurable performance metrics and thresholds (e.g., false positives, fraud loss reduction, detection latency). PMI-CPMAI also emphasizes responsible and trustworthy AI practices--particularly around privacy, governance, and monitoring--because fraud models can affect customers' access to funds and may introduce bias if training data is skewed. Predictive analytics best fits because it supports classification/risk scoring decisions; the other options focus on interaction (conversational), tailored experiences (hyperpersonalization), or self-directed control (autonomous systems).


                          NEW QUESTION # 69
                          You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique.
                          What is this technique called?

                          Answer: B


                          NEW QUESTION # 70
                          In a logistics project, a company is integrating an AI-driven supply chain optimization tool. The project manager needs to address the risk of external dependencies affecting project success.
                          Which method is a next step for the project manager?

                          Answer: C

                          Explanation:
                          Establishing contingency plans for critical external dependencies helps the project manager prepare fallback actions if vendors, data providers, platforms, integrations, or infrastructure services create delays or disruptions. This directly reduces the impact of external dependency risks on the AI supply chain optimization project.


                          NEW QUESTION # 71
                          ......

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