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You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Docl.pdf that contains a product catalogue and a price list
You upload Docl.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of < product>?
The chatbot fails to respond to the following question: How much does You need to ensure that the chatbot responds correctly to both questions. Solution: From Language Studio, you create an entity for cost, and then retrain and republish the model. Does this meet the goal?
You are building a social media extension that will convert text to speech. The solution must meet the following requirements:
* Support messages of up to 400 characters.
* Provide users with multiple voice options.
* Minimize costs.
You create an Azure Cognitive Services resource.
Which Speech API endpoint provides users with the available voice options?
You are building a Conversational Language Understanding model.
You need to ensure that the model will support the following sample utterances:
* Set all the lights to on.
* Turn off the lights in the living room.
* What is the current thermostat temperature?
* Lower the temperature of the thermostat by five degrees.
Which three elements should you add to the model?
Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
You are examining the Language service output of an application.
The text analyzed is: Our tour guide took us up the Space Needle during our trip to Seattle last week.
The response contains the data shown in the following table.
Which Language service API is used 10 analyze the Text?
You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?
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