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Google Exam Professional-Data-Engineer Topic 5 Question 88 Discussion

Actual exam question for Google's Google Cloud Certified Professional Data Engineer exam
Question #: 88
Topic #: 5
[All Google Cloud Certified Professional Data Engineer Questions]

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-code option, and you want to be able to easily train the chatbot to provide answers to keywords. What should you do?

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Suggested Answer: D

Dialogflow is a conversational AI platform that allows for easy implementation of chatbots without needing to code. It has built-in integration for both text and voice input via APIs like Cloud Speech-to-Text. Defining intents and entity types allows you to map common queries and keywords to responses. This would provide a low/no-code way to quickly build and iteratively improve the chatbot capabilities.

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.


Contribute your Thoughts:

Eloisa
3 months ago
Haha, no-code chatbot? That's like a unicorn in the tech world! But if that's what you're looking for, Dialogflow is definitely the way to go. It's the closest thing to a magical, no-fuss chatbot solution I've seen.
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Wilbert
3 months ago
I think using Dialogflow to implement the chatbot would be the most efficient option.
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Mozelle
3 months ago
I don't know, I'm more of a Compute Engine kind of guy. Building a Python app on Compute Engine gives you more control and flexibility, but it might be overkill for a simple chatbot. Hmm, tough call.
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Alline
1 months ago
I agree, using Dialogflow for simple queries and the Speech-to-Text API for complex queries seems like a good balance.
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Leanora
1 months ago
C) Use Dialogflow for simple queries and the Speech-to-Text API for complex queries.
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India
2 months ago
A) Use the Speech-to-Text API to build a Python application in App Engine.
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Christoper
2 months ago
I think using Dialogflow for simple queries and the Speech-to-Text API for complex queries could be a good balance.
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Talia
2 months ago
C) Use Dialogflow for simple queries and the Speech-to-Text API for complex queries.
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Ellsworth
2 months ago
A) Use the Speech-to-Text API to build a Python application in App Engine.
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Christene
3 months ago
I prefer using the Speech-to-Text API to build a Python application in a Compute Engine instance.
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Franklyn
3 months ago
I agree with Carlton. Dialogflow would make it easy to define intents based on common queries.
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Melynda
3 months ago
I'd go with option D. Dialogflow is powerful and user-friendly, and you can easily customize it to handle your specific chatbot needs. Plus, it's a no-code solution, so you don't have to worry about building everything from scratch.
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Margery
2 months ago
I agree, Dialogflow seems like the most efficient option for training the chatbot to respond to keywords.
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Moira
2 months ago
I think option D is the best choice. Dialogflow is easy to use and can be customized for our needs.
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Ezekiel
3 months ago
Dialogflow is definitely the way to go. It's super easy to set up and train, and handles both text and voice out of the box. Plus, you can easily integrate it with other APIs for complex queries. That's my pick!
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Wilson
2 months ago
Dialogflow is definitely the way to go. It's super easy to set up and train, and handles both text and voice out of the box. Plus, you can easily integrate it with other APIs for complex queries. That's my pick!
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Yuette
2 months ago
D) Use Dialogflow to implement the chatbot, defining the intents based on the most common queries collected.
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Jade
2 months ago
C) Use Dialogflow for simple queries and the Speech-to-Text API for complex queries.
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Carlton
3 months ago
I think we should use Dialogflow for simple queries and the Speech-to-Text API for complex queries.
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