Q98 — AWS AIF-C01 Ch.3
Question 98 of 100 | ← Chapter 3
A company is building a contact center application and wants to derive insights from customer conversations. The company wants to analyze and extract key information from customer call audio. Which solution meets these requirements?
- A. Use Amazon Lex to build a conversational chatbot. ✓
- B. Use Amazon Transcribe to transcribe call recordings. ✓
- C. Use Amazon SageMaker Model Monitor to extract information from call recordings.
- D. Use Amazon Comprehend to create classification labels.
Correct Answer: A. Use Amazon Lex to build a conversational chatbot., B. Use Amazon Transcribe to transcribe call recordings.
Explanation
This question evaluates audio-based insight extraction. Amazon Transcribe converts speech to text, enabling downstream analysis of call content—essential for deriving insights from audio. Amazon Lex builds interactive bots but does not process historical call audio. SageMaker Model Monitor monitors deployed model performance—not audio analysis. Amazon Comprehend performs NLP on text (e.g., sentiment, entities) but requires transcription first; it does not process raw audio directly.