AWS Certified Solutions Architect - Associate
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A company wants to use artificial intelligence (AI) to determine the quality of its customer service calls. The company currently manages calls in four different languages, including English. The company will offer new languages in the future. The company does not have the resources to regularly maintain machine learning (ML) models.
The company needs to create written sentiment analysis reports from the customer service call recordings. The customer service call recording text must be translated into English.
Which combination of steps will meet these requirements? (Choose three.)
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UAnonymous
A
Use Amazon Comprehend to translate the audio recordings into English.
B
Use Amazon Lex to create the written sentiment analysis reports.
C
Use Amazon Polly to convert the audio recordings into text.
D
Use Amazon Transcribe to convert the audio recordings in any language into text.
E
Use Amazon Translate to translate text in any language to English.
F
Use Amazon Comprehend to create the sentiment analysis reports.
Explanation:
Explanation
Let's analyze each option and why the correct combination is D, E, and F:
Correct Options:
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D. Use Amazon Transcribe to convert the audio recordings in any language into text.
- Amazon Transcribe is AWS's automatic speech recognition (ASR) service that converts speech to text.
- It supports multiple languages and can handle audio recordings in various languages.
- This is the first step in the pipeline: converting audio recordings to text.
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E. Use Amazon Translate to translate text in any language to English.
- Amazon Translate is AWS's neural machine translation service.
- It can translate text between multiple languages, including translating from any of the four languages (and future languages) to English.
- This addresses the requirement that "the customer service call recording text must be translated into English."
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F. Use Amazon Comprehend to create the sentiment analysis reports.
- Amazon Comprehend is AWS's natural language processing (NLP) service that can analyze text for sentiment.
- It can determine whether the sentiment is positive, negative, neutral, or mixed.
- This addresses the requirement to "create written sentiment analysis reports."
Why other options are incorrect:
-
A. Use Amazon Comprehend to translate the audio recordings into English. ❌
- Amazon Comprehend does NOT translate audio recordings. It's an NLP service for text analysis, not speech-to-text or translation.
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B. Use Amazon Lex to create the written sentiment analysis reports. ❌
- Amazon Lex is for building conversational interfaces (chatbots), not for sentiment analysis.
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C. Use Amazon Polly to convert the audio recordings into text. ❌
- Amazon Polly is a text-to-speech service (converts text to speech), not speech-to-text. It does the opposite of what's needed.
Complete Workflow:
- Amazon Transcribe: Audio recordings → Text (in original language)
- Amazon Translate: Text (original language) → Text (English)
- Amazon Comprehend: Text (English) → Sentiment analysis reports
This solution meets all requirements:
- Handles multiple languages (current and future)
- Translates to English
- Creates sentiment analysis reports
- Uses managed AWS services (no ML model maintenance required)
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