A customer uses Azure Cognitive Search.
The customer plans to enable a server-side encryption and use customer-managed keys (CMK) stored in Azure.
What are three implications of the planned change? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A.The index size will increase.
• B.Query times will increase.
• C.A self-signed X.509 certificate is required.
• D.The index size will decrease.
• E.Query times will decrease.
• F.Azure Key Vault is required.

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You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input

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You need to build a chatbot that meets the following requirements:
Supports chit-chat, knowledge base, and multilingual models
Performs sentiment analysis on user messages
Selects the best language model automatically
What should you integrate into the chatbot?

• A.QnA Maker, Language Understanding, and Dispatch
• B.Translator, Speech, and Dispatch
• C.Language Understanding, Text Analytics, and QnA Maker
• D.Text Analytics, Translator, and Dispatch

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You are developing the knowledgebase by using Azure Cognitive Search.
You need to build a skill that will be used by indexers.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

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You have the following C# method for creating Azure Cognitive Services resources programmatically.

You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?

• A.create_resource(client, "res1", "ComputerVision", "F0", "westus")
• B.create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus")
• C.create_resource(client, "res1", "ComputerVision", "S0", "westus")
• D.create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")

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