Topic 1 Question 192

Professional Data Engineer

Topic 1 Question 192
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?
- Use the Cloud Speech-to-Text API to build a Python application in App Engine.
- Use the Cloud Speech-to-Text API to build a Python application in a Compute Engine instance.
- Use Dialogflow for simple queries and the Cloud Speech-to-Text API for complex queries.
- Use Dialogflow to implement the chatbot, defining the intents based on the most common queries collected.
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コメント(7)
- 正解だと思う選択肢: D
  D is correct: https://cloud.google.com/dialogflow/es/docs/how/detect-intent-tts#:~:text=Dialogflow%20can%20use%20Cloud%20Text,to%2Dspeech%2C%20or%20TTS.
  
  👍 9
  PhuocT2022/09/02
- 正解だと思う選択肢: D
  D is the answer.
  
  https://cloud.google.com/dialogflow/docs Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product.
  
  Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech.
  
  👍 4
  zellck2022/11/28
- 正解だと思う選択肢: C
  C. Use Dialogflow for simple queries and the Cloud Speech-to-Text API for complex queries.
  
  This seem the best answer here but not the best answer in real world. But with the Question, the answer must be the combination of both Diagflow and Speech API
  
  👍 3
  ducc2022/09/02
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