| Question.36 HOTSPOT You have an app named App1 that uses Azure AI Document Intelligence to analyze medical records and provide pharmaceutical dosage recommendations for patients. You send a request to App1 and receive the following response.  For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.  |
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Answer:
| Question.37 DRAG DROP You plan to build a chatbot to support task tracking. You create a Language Understanding service named lu1. You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place:  |
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Answer:
Step 1: Add a new application –
Create a new app –
1. Sign in to the LUIS portal with the URL of https://www.luis.ai.
2. Select Create new app.
3. Etc.
Step 2: Add example utterances.
In order to classify an utterance, the intent needs examples of user utterances that should be classified with this intent.
Step 3: Train the application –
Step 4: Publish the application –
In order to receive a LUIS prediction in a chat bot or other client application, you need to publish the app to the prediction endpoint.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/tutorial-intents-only
| Question.38 HOTSPOT You build a bot named app1 by using the Microsoft Bot Framework. You prepare app1 for deployment. You need to deploy app1 to Azure. How should you complete the command? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.  |
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Answer:
| Question.39 You are building a multilingual chatbot. You need to send a different answer for positive and negative messages. Which two Language service APIs should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A. Linked entities from a well-known knowledge base B. Sentiment Analysis C. Key Phrases D. Detect Language E. Named Entity Recognition |
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Answer: BD
B: The Text Analytics API’s Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as negative, neutral and positive) and confidence scores at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis?tabs=version-3-1 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
| Question.40 HOTSPOT You have an Azure subscription that contains an Azure AI Document Intelligence resource named DI1. You create a PDF document named Test.pdf that contains tabular data. You need to analyze Test.pdf by using DI1. How should you complete the command? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.  |
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Answer:
