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A financial services company is developing machine learning models using Amazon SageMaker to automate loan approvals and fraud detection. To ensure transparency and compliance with industry regulations, the data science team needs a tool that documents the model’s intended uses, performance metrics, and any assumptions made during development. This documentation is crucial for maintaining accountability and ensuring that the models are used appropriately. Which Amazon SageMaker tool meets these requirements?