Microsoft AI-102 시험

Question No : 1

HOTSPOT
Select the answer that correctly completes the sentence.

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Question No : 2

HOTSPOT
Select the answer that correctly completes the sentence.

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Question No : 3

HOTSPOT
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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Question No : 4

Which statement is an example of Data Manipulation Language (DML)?

• A.Revoke
• B.UPDATE
• C.DROP
• D.CREATE

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Question No : 5

HOTSPOT
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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Question No : 6

DRAG DROP
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct match is worth one point.

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Question No : 7

You build a Language Understanding model by using the Language Understanding portal.
You export the model as a JSON file as shown in the following sample.



To what does the Weather.Historic entity correspond in the utterance?

• A.by month
• B.chicago
• C.rain
• D.location

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Question No : 8

You have the following C# method.



You need to deploy an Azure resource to the East US Azure region. The resource will be used to perform sentiment analysis.
How should you call the method?

• A.create_resource("res1", "ContentModerator", "S0", "eastus")
• B.create_resource("res1", "TextAnalytics", "S0", "eastus")
• C.create_resource("res1", "ContentModerator", "Standard", "East US")
• D.create_resource("res1", "TextAnalytics", "Standard", "East US")

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Explanation:
To perform sentiment analysis, we specify TextAnalytics, not ContentModerator.
Possible SKU names include: 'F0','F1','S0','S1','S2','S3','S4','S5','S6','S7','S8'
Possible location names include: westus, eastus
Reference: https://docs.microsoft.com/en-us/powershell/module/az.cognitiveservices/new-azcognitiveservicesaccount

Question No : 9

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images.
The method to detect the faces uses the following code.



You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.
What should you do?

• A.Use a different version of the Face AP
• B.Use the Computer Vision service instead of the Face service.
• C.Use the Identify method instead of the Detect method.
• D.Change the detection model.

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Explanation:
Evaluate different models.
The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face - Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model

Question No : 10

You have a Language Understanding resource named lu1.
You build and deploy an Azure bot named bot1 that uses lu1.
You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness.
How should you extend bot1?

• A.Implement authentication for bot1.
• B.Enable active learning for Iu1.
• C.Host Iu1 in a container.
• D.Add Direct Line Speech to bot1.

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Explanation:
Inclusiveness: AI systems should empower everyone and engage people.
Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is optimized for voice-in, voice-out interaction with bots.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech

Question No : 11

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure Cognitive Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a private endpoint to vnet1.
Does this meet the goal?

• A.Yes
• B.No

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Explanation:
A private endpoint is a network interface that uses a private IP address from your virtual network. This network interface connects you privately and securely to a service powered by Azure Private Link. By enabling a private endpoint, you're bringing the service into your virtual network.
The service could be an Azure service such as:
Azure Storage
Azure Cosmos DB
Azure SQL Database
Your own service using a Private Link Service.
Reference: https://docs.microsoft.com/en-us/azure/private-link/private-endpoint-overview

Question No : 12

HOTSPOT
You create a knowledge store for Azure Cognitive Search by using the following JSON.



Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE Each correct selection is worth one point.

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Question No : 13

HOTSPOT
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named get_text_to_be_translated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 14

You are examining the Text Analytics 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 Text Analytics API is used to analyze the text?

• A.Sentiment Analysis
• B.Named Entity Recognition
• C.Entity Linking
• D.Key Phrase Extraction

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Question No : 15

You need to enable speech capabilities for a chatbot.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A.Enable WebSockets for the chatbot app.
• B.Create a Speech service.
• C.Register a Direct Line Speech channel.
• D.Register a Cortana channel.
• E.Enable CORS for the chatbot app.
• F.Create a Language Understanding service.

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Explanation:
You can use the Speech service to voice-enable a chat bot.
The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.
You'll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk