Exam Professional Data Engineer topic 1 question 113 discussion

should be C, since we need to recognize both voice and intent

Option A - Cloud Speech-to-Text API. The question is just asking to " interpret customer voice commands" .. it does not mention anything related to sentiment analysis so NLP is not required. DialogFlow is more of a chat bot services typically suited for a "Service Desk" kind of setup - where clients will call a centralized helpdesk and automation is achieved through Chat bot services like - google Dialog flow

This is a queston from Actual exam question from Google's Professional Data Engineer so C makes sense. This is not an AWS question

The question clearly states "voice commands" which is a term for short (few words long at most) well-defined phrases to be recognized. No need for a dialog. Even if I were to use Dialogflow, I would use ES instead of CX (new name for Enterprise Edition), no fancy features are required for this.

Ans C . main thing is that question is saying" customer voice commands " there is no need to sentimental analysis of language so thats why. C. Dialogflow Enterprise Edition Dialogflow is a powerful natural language understanding platform developed by Google. It allows you to build conversational interfaces, interpret user voice commands, and integrate with various platforms and devices like Google Home. The "Enterprise Edition" provides additional features and support for more complex use cases, making it a good choice for a retailer looking to integrate with in-home assistants and handle customer voice commands effectively.

Answer is C. However Google Assistant Conversational Actions will be sunsetted on June 13, 2023.

https://cloud.google.com/dialogflow/es/docs/integrations/aog

I think the answer is A: Speech to Text. You want to interpret what a user say... Diagflow is text to speech, not what the question asked for... Thoughts?

The question is just asking to " interpret customer voice commands" so A is out of the box solution

Enable voice control Implement voice commands such as “turn the volume up,” and voice search such as saying “what is the temperature in Paris?” Combine this with the Text-to-Speech API to deliver voice-enabled experiences in IoT (Internet of Things) applications. https://cloud.google.com/speech-to-text#section-9

C is the answer. https://cloud.google.com/dialogflow/es/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.

https://cloud.google.com/blog/products/gcp/introducing-dialogflow-enterprise-edition-a-new-way-to-build-voice-and-text-conversational-apps Dialogflow is the answer

Dialogflow provides a seamless integration with Google Assistant. This integration has the following advantages: You can use the same Dialogflow agent to power Google Assistant and other integrations. Dialogflow agents provide Google Cloud enterprise-grade security, privacy, support, and SLAs

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It should be D. INTERPRET customer voice commands and issue an order to the backend systems. Option C is usually applied for conversation. But in this case, it is not a conversation.

recognize voice and intent https://cloud.google.com/blog/products/gcp/introducing-dialogflow-enterprise-edition-a-new-way-to-build-voice-and-text-conversational-apps