A marketing team has five years of news reports in PDF format and needs to extract content insights and sentiment. The solution must use Amazon Textract to process the PDFs and should require minimal operational overhead. Which solution meets these requirements?

The correct solution leverages Amazon Textract for PDF processing and then feeds the extracted text directly into Amazon Comprehend for sentiment analysis and content insights. This approach is highly efficient because Comprehend is a fully managed natural language processing (NLP) service, requiring minimal operational overhead. The results can then be stored in an S3 bucket for future use. Storing extracted insights in DynamoDB and using SageMaker to build a sentiment model would involve significant operational overhead and development effort, as SageMaker requires model training and management. Using Athena for analysis is possible but doesn't inherently provide sentiment analysis without additional services. QuickSight is a visualization tool and doesn't perform the sentiment analysis itself.