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A pharmaceutical company needs to summarize clinical-trial documents and extract key findings to speed up research. Which combination of AWS services offers the best solution?
A
Amazon Textract + Amazon Bedrock (Titan Text or Claude)
B
Amazon Rekognition + Amazon Translate
C
Amazon Transcribe + Amazon S3
D
Amazon Polly + Amazon Comprehend
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.