AI-900 Question 219
Select 4A company wants to build an application that transcribes customer support calls into text in real-time and then uses that text to generate automated responses. Which Azure AI service features would be most suitable for this use case?
- A
Speech-to-Text for transcribing the spoken conversations into text
- B
Speech Synthesis for converting text-based responses into spoken audio
- C
Custom Vision for analyzing visual elements in the customer support calls
- D
Language Understanding (LUIS) for interpreting customer intent from the transcribed text
- E
Azure Bot Service for generating automated responses
Show answer and explanation
Correct answers: A, B, D, E
Explanation
This use case involves real-time transcription of spoken conversations (handled by Speech-to-Text), generating text-based insights and responses (enabled by Language Understanding and Azure Bot Service), and optionally converting the responses back to speech (using Speech Synthesis). Custom Vision does not fit this scenario as it deals with visual analysis.
- A. Correct.
Speech-to-Text is essential for transcribing customer support calls into text in real-time, which is a key requirement of the scenario.
- B. Correct.
Speech Synthesis is required if the application needs to convert the automated text-based responses back into spoken audio for the customer.
- C. Incorrect.
Custom Vision is not relevant to this scenario since it is used for analyzing visual data, such as images, and is unrelated to speech or text processing.
- D. Correct.
Language Understanding (LUIS) is important for interpreting the customer's intent from the transcribed text, enabling meaningful automated responses.
- E. Correct.
Azure Bot Service can be used to generate automated responses, making it a suitable choice for this scenario.