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Answer: Amazon Transcribe for speaker recognition and Amazon Athena for analysis.
The correct answer is B: Use Amazon Transcribe for multiple speaker recognition and Amazon Athena for transcript file analysis. Amazon Transcribe is specifically designed for converting speech to text and supports speaker identification. Amazon Athena is well-suited for querying data stored in Amazon S3 using SQL, making it ideal for analyzing transcript files. This combination meets the requirements for generating transcripts, analyzing them, and ensuring long-term storage in S3 for 7 years.
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A telemarketing company seeks an AWS-based solution for its call center that includes multi-speaker recognition and transcript generation for business pattern analysis. The solution must support long-term storage of transcripts for a minimum of 7 years. Which of the following AWS services and approaches best fits these requirements?
A
Amazon Rekognition for speaker recognition, Amazon S3 for storage, and machine learning for analysis.
B
Amazon Transcribe for speaker recognition and Amazon Athena for analysis.
C
Amazon Translate for speaker recognition, Amazon Redshift for storage, and SQL for analysis.
D
Amazon Rekognition for speaker recognition, Amazon S3 for storage, and Amazon Textract for analysis.
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