Answer: Amazon Textract + Amazon Bedrock (Titan Text or Claude)

## Explanation **Amazon Textract + Amazon Bedrock (Titan Text or Claude)** is the correct combination because: - **Amazon Textract** is specifically designed to extract text and data from documents, including clinical-trial documents, PDFs, and scanned files - **Amazon Bedrock** provides access to foundation models like Titan Text and Claude that are excellent for text summarization and extracting key insights from large documents - This combination directly addresses the need to process clinical-trial documents and extract meaningful findings **Why other options are incorrect:** - **B) Amazon Rekognition + Amazon Translate**: Rekognition is for image/video analysis, not document processing - **C) Amazon Transcribe + Amazon S3**: Transcribe is for speech-to-text, not document processing - **D) Amazon Polly + Amazon Comprehend**: Polly is for text-to-speech, which doesn't help with document summarization This solution enables automated document processing and intelligent summarization to accelerate pharmaceutical research workflows.

Author: Ritesh Yadav