A lender uses an ML model to accept or reject loan applications and must make the decision-making process auditable and explainable for regulators. Which solution helps document and present the model's decisions for audits?

Amazon SageMaker Model Card is the correct solution because it provides a centralized, standardized way to document critical information about an ML model, including its purpose, performance metrics, training data, and potential biases. This documentation is essential for auditing and explaining model decisions to regulators, ensuring transparency and accountability. Amazon Textract is incorrect because it extracts text and data from documents, not for documenting ML models. AWS CloudFormation is incorrect because it is an infrastructure as code service for provisioning AWS resources, not for model documentation. Amazon Comprehend is incorrect because it is a natural language processing (NLP) service for text analysis, not for creating model audit trails.