Amazon QuickSight—presented in current AWS documentation as Amazon Quick Sight within Amazon Quick—provides business intelligence, interactive visualizations, analyses, and dashboards. Its natural-language and generative BI capabilities allow business users to ask questions about their data and receive answers represented through appropriate visualizations and narratives. Quick Sight can also generate visuals and multi-sheet analyses from natural-language prompts. Therefore, option C is correct. Amazon Macie uses machine learning and pattern matching to discover and help protect sensitive data in Amazon S3. Amazon Rekognition analyzes images and videos for objects, text, faces, activities, and other visual information. Amazon Lex provides conversational interfaces for applications using speech recognition and natural-language understanding, but it is not the AWS business-intelligence dashboard service that converts data questions into charts and visual answers. The important requirement is not simply natural-language processing; it is the combination of NLP, business data, dashboards, and automatically generated visualizations. That combination directly aligns with the natural-language question-and-answer and generative BI capabilities of Amazon QuickSight.