Q30 — AWS AIF-C01 Ch.2

Question 30 of 100 | ← Chapter 2

A company is developing a call center application and wants to gain insights from customer calls. 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: B. Use Amazon Transcribe to transcribe call recordings.

Explanation

To meet the requirement of analyzing and extracting key information from customer call audio, the audio content must first be converted into text form to enable subsequent analysis and information extraction. Amazon Transcribe is an AWS service that converts speech to text and can accurately transcribe call recordings into text, thereby providing the foundational input for downstream analysis. Amazon Lex is primarily used to build conversational chatbots; Amazon SageMaker Model Monitor monitors machine learning model performance; and Amazon Comprehend performs text classification, topic detection, and similar tasks—it does not directly fulfill the need to convert audio to text. Therefore, option B—using Amazon Transcribe to transcribe call recordings—is the solution that meets the stated requirements.