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Cognitive Project Management in AI · PMI
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The go/no-go checklist question. To have all the required access to the data before moving to the next step.
Why D is Correct (PMI-CPMAI Perspective) This question tests one of the core principles of CPMAI: AI projects are data projects. Unlike traditional software projects, AI models cannot be built effectively without the required data. In a forecasting project, historical data is the foundation for training the model. If critical data is missing, the project team cannot reliably: Train the model Validate its performance Produce accurate forecasts Assess business value Therefore, before moving into model development, CPMAI expects the team to ensure that the required data is available.