AWS Certified Cloud Practitioner
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A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?
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RRitesh
A
Build a conversational chatbot by using Amazon Lex.
B
Transcribe call recordings by using Amazon Transcribe.
C
Extract information from call recordings by using Amazon SageMaker Model Monitor.
D
Create classification labels by using Amazon Comprehend.
Explanation:
Explanation:
Amazon Transcribe is the correct AWS service for this requirement because:
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Audio Transcription: Amazon Transcribe is specifically designed to convert speech to text, which is the first step needed to analyze audio from customer calls.
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Key Information Extraction: Once the audio is transcribed to text, other AWS services like Amazon Comprehend can be used to extract insights, entities, and key information from the transcribed text.
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Service Comparison:
- Option A (Amazon Lex): This is for building conversational chatbots, not for transcribing existing audio recordings.
- Option C (Amazon SageMaker Model Monitor): This is for monitoring machine learning models in production, not for audio transcription or information extraction.
- Option D (Amazon Comprehend): While this can extract information from text, it cannot directly process audio files. It would require the audio to be transcribed first.
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Workflow: The proper workflow would be:
- Step 1: Use Amazon Transcribe to convert audio recordings to text
- Step 2: Use Amazon Comprehend to analyze the transcribed text and extract insights
Therefore, Amazon Transcribe is the foundational service needed to meet the requirement of analyzing and extracting key information from audio customer calls.
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