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To prepare for the Microsoft AI-102 Exam, candidates should have a solid understanding of Azure services, as well as experience in designing and implementing AI solutions. They should also be familiar with data science concepts, machine learning algorithms, and programming languages such as Python. Microsoft provides various resources for exam preparation, including online training courses, practice tests, and study guides. Candidates can also take advantage of the Microsoft Azure community to connect with other professionals and learn from their experiences.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q83-Q88):

NEW QUESTION # 83
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

NEW QUESTION # 84
You have an Azure subscription that contains an Azure OpenA1 resource named AH.
You plan to build an app named App1 that will write press releases by using AM.
You need to deploy an Azure OpenA1 model for Appl. The solution must minimize development effort.
Which three actions should you perform in sequence in Azure OpenAI Studio? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

NEW QUESTION # 85
You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that." You need to improve the ability of the agent to respond to requests.
Which three 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. (Choose three.)

Answer:

Explanation:

NEW QUESTION # 86
You Build a bot in JavaScript.
From the Azure Command-Line interface (CLI), you run the following command.
az bot prepare-deploy
You need to deploy the bot to Azure.
Which three Azure CLl commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the client order.

Answer:

Explanation:

Explanation:
To deploy the bot to Azure, you should run the following three Azure CLI commands in sequence:
az deployment group create This command will create the Azure resources for your bot using an ARM template and a parameters file. You need to specify the resource group name, the template file path, and the parameters file path. For example:
az deployment group create --resource-group myResourceGroup --template-file
"deploymentTemplates emplate-with-preexisting-rg.json" --parameters "deploymentTemplatesparameters- for-template-BotApp-with-rg.json" This command will also output the app ID and password of your bot, which you will need for the next command1.
az webapp deployment source config-zip This command will deploy your bot code to the app service that you created in the previous step. You need to specify the resource group name, the app service name, and the zip file path of your bot code. For example:
az webapp deployment source config-zip --resource-group myResourceGroup --name myBotAppService --src
"code.zip"
This command will also output the URL of your bot endpoint, which you will need for the next command2.
az ad app update This command will update your bot registration with the endpoint URL of your bot. You need to specify the app ID of your bot and the endpoint URL. For example:
az ad app update --id myBotAppId --set replyUrls="https://myBotAppService.azurewebsites.net/api
/messages"
This command will complete the deployment process and make your bot ready to be tested3.

NEW QUESTION # 87
You have data saved in the following format.

Which format was used?

A. YAML
B. HTML
C. JSON
D. CSV

Answer: D

NEW QUESTION # 88
......

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