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PROFESSIONAL-DATA-ENGINEER · Question #279
You are implementing a chatbot to help an online retailer streamline their customer service. The chatbot must be able to respond to both text and voice inquiries. You are looking for a low-code or no-
The correct answer is D. Use Dialogflow to implement the chatbot, defining the intents based on the most common queries collected.. Explanation/Reference: https://cloud.google.com/dialogflow/es/docs/how/detect-intent-tts
Submitted by yasin.bd· Mar 30, 2026Designing data processing systems
Question
You are implementing a chatbot to help an online retailer streamline their customer service. The chatbot must be able to respond to both text and voice inquiries. You are looking for a low-code or no-cade option, and you want to be able to easily train the chatbot to provide answers to keywords. What should you do?
Options
- AUse the Cloud Speech-to-Text API to build a Python application in App Engine.
- BUse the Cloud Speech-to-Text API to build a Python application in a Compute Engine instance.
- CUse Dialogflow for simple queries and the Cloud Speech-to-Text API for complex queries.
- DUse Dialogflow to implement the chatbot, defining the intents based on the most common queries collected.
How the community answered
(25 responses)- A4% (1)
- C4% (1)
- D92% (23)
Explanation
Explanation/Reference: https://cloud.google.com/dialogflow/es/docs/how/detect-intent-tts
Topics
#Dialogflow#chatbot#NLP#Cloud Speech-to-Text
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