Google Exam Professional Data Engineer Topic 3 Question 86 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 86
Topic #: 3

[All 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?

AUse the Speech-to-Text API to build a Python application in App Engine.

BUse the Speech-to-Text API to build a Python application in a Compute Engine instance.

CUse Dialogflow for simple queries and the Speech-to-Text API for complex queries.

DUse Dialogflow to implement the chatbot. defining the intents based on the most common queries collected.

Show Suggested Answer

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.

by Tandra at Jun 24, 2024, 11:55 AM

Limited Time Offer

25%

Off

Get Premium Professional Data Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Leslie

5 months ago

Oof, this is a tough one. I'm torn between C and D. Dialogflow is great, but the Speech-to-Text API could be a game-changer for those complex queries. Maybe I'll just flip a coin and hope for the best!

upvoted 0 times

Thaddeus

4 months ago

I agree, option C seems like the best choice. It covers both simple and complex queries effectively.

upvoted 0 times

...

Cristina

5 months ago

I think you should go with option C. Dialogflow for simple queries and Speech-to-Text API for complex ones sounds like a good balance.

upvoted 0 times

...

Francene

5 months ago

I think using Dialogflow to implement the chatbot and defining intents based on common queries is the way to go.

upvoted 0 times

...

Thomasena

5 months ago

I'm more of a fan of the hands-on approach. If I were you, I'd go with option B and build the chatbot from scratch in a Compute Engine instance. That way, you can really customize it to your needs. Plus, you get to show off your coding skills!

upvoted 0 times

Vernice

4 months ago

I agree with you. Option B does sound like a more hands-on and customizable option. It could be a great learning experience as well.

upvoted 0 times

...

Leontine

5 months ago

I see your point, but I still prefer the hands-on approach. Building it from scratch in a Compute Engine instance would be a fun challenge.

upvoted 0 times

...

Lawrence

5 months ago

But wouldn't it be easier to use Dialogflow for simple queries and the Speech-to-Text API for complex queries? Option C seems like a good balance.

upvoted 0 times

...

Van

5 months ago

I think option B sounds like a great idea. Building the chatbot from scratch in a Compute Engine instance would give you more control over customization.

upvoted 0 times

...

Huey

5 months ago

I prefer using the Speech-to-Text API to build a Python application in App Engine.

upvoted 0 times

...

Jaime

5 months ago

Hey, I've used the Speech-to-Text API before. It's pretty straightforward, but building a full app in App Engine or Compute Engine might be overkill for a chatbot. D sounds like the simplest solution.

upvoted 0 times

...

Stephanie

5 months ago

I agree with German. Dialogflow seems like the best option to easily train the chatbot.

upvoted 0 times

...

Katina

5 months ago

Hmm, I'm not sure about using Dialogflow for complex queries. The Speech-to-Text API might be better for that. C could be a good compromise.

upvoted 0 times

Denny

4 months ago

Yeah, that sounds like a good compromise. It would cover a range of inquiries effectively.

upvoted 0 times

...

Wava

4 months ago

I think using Dialogflow for simple queries and the Speech-to-Text API for complex queries could work well.

upvoted 0 times

...

Claribel

6 months ago

I think option D is the way to go. Dialogflow is a great no-code solution for building chatbots, and it's easy to train the bot based on common queries.

upvoted 0 times

Martha

5 months ago

Using Dialogflow to define intents based on common queries will make training the chatbot much easier.

upvoted 0 times

...

Kyoko

5 months ago

I agree, Dialogflow is a great choice for building chatbots.

upvoted 0 times

...

German

6 months ago

I think we should use Dialogflow for simple queries and the Speech-to-Text API for complex queries.

upvoted 0 times

...