Answer: Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena for transcript file analysis.

## Explanation **Correct Answer: B** **Why Option B is correct:** 1. **Amazon Transcribe** is specifically designed for speech-to-text conversion and supports multiple speaker recognition (speaker diarization). This directly addresses the requirement for multiple speaker recognition. 2. **Amazon Athena** is a serverless query service that allows you to analyze data stored in Amazon S3 using standard SQL. Transcript files stored in S3 can be queried directly with Athena for business pattern analysis. 3. Amazon S3 (implied in the solution) provides durable storage for transcript files for 7 years, meeting the auditing requirement. **Why other options are incorrect:** **Option A:** - Amazon Rekognition is for image and video analysis, not speech recognition. It cannot perform multiple speaker recognition from audio. - While S3 storage is appropriate, "machine learning models" is vague and not the most efficient way to query transcript files. **Option C:** - Amazon Translate is for language translation, not speech recognition or speaker identification. - Amazon Redshift is a data warehouse optimized for complex queries on structured data, not ideal for text file analysis. **Option D:** - Amazon Rekognition is incorrect for the same reason as Option A (it's for visual analysis). - Amazon Textract is for extracting text from documents and images, not for analyzing transcript files or performing speaker recognition. **Key AWS Services:** - **Amazon Transcribe**: Converts speech to text with speaker diarization (identifying different speakers) - **Amazon Athena**: Serverless query service for analyzing data in S3 using SQL - **Amazon S3**: Durable object storage for long-term retention (7 years) This solution provides a complete, serverless architecture for speech transcription, storage, and analysis that meets all requirements.

Author: LeetQuiz Editorial Team