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Merge pull request #50537 from sherzyang/main
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learn-pr/wwl-data-ai/fundamentals-azure-ai-services/7-knowledge-check.yml

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- content: "It's not possible to see costs for individual AI services"
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isCorrect: false
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explanation: "Incorrect. It's possible to see costs separately for each AI service resource."
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- content: "After logging into one of the individual Azure studios, what is one task to complete to begin using the individual studio?"
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choices:
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- content: "Input a key and endpoint into the studio"
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isCorrect: false
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explanation: "Incorrect. It's not necessary to authenticate the studio."
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- content: "Customize the API request."
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isCorrect: false
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explanation: "Incorrect. You don't need to customize an API request to use the studio."
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- content: "Associate a resource with the studio"
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isCorrect: true
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explanation: "Correct. To explore the capabilities of the service in the studio, you must first associate the resource with the studio."
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- content: "What is an Azure AI services resource?"
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- content: "A bundle of several AI services in one resource"

learn-pr/wwl-data-ai/fundamentals-azure-ai-services/includes/3-create-azure-ai-resource.md

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![Screenshot of Azure AI services in the Azure portal marketplace.](../media/azure-ai-services-marketplace.png)
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To create a single-service resource, search for the specific Azure AI service such as Face, Language, or Content Safety, and so on. Most AI services have a free price tier to allow you to explore their capabilities. After clicking **Create** for the resource you require, you will be prompted to complete details of your subscription, the resource group to contain the resource, the region, a unique name, and the price tier.
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To create a single-service resource, search for the specific Azure AI service such as Face or Language. Most AI services have a free price tier to allow you to explore their capabilities. After clicking **Create** for the resource you require, you will be prompted to complete details of your subscription, the resource group to contain the resource, the region, a unique name, and the price tier.
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Once you create an Azure AI service resource, you can build applications using the REST API, software development kits (SDKs), or visual studio interfaces.
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[ ![Screenshot of several examples of Azure studios including Azure Language Studio, Azure Document Intelligence Studio, and Azure Vision Studio.](../media/azure-studio-examples.png) ](../media/azure-studio-examples.png#lightbox)
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> [!NOTE]
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> When developers incorporate an AI service into their applications, they often use a [SDK](/training/modules/create-manage-cognitive-services/5-use-sdk?azure-portal=true) or the [REST API](/training/modules/create-manage-cognitive-services/4-use-rest?azure-portal=true).
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## Using service studio interfaces
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## Using Azure AI Foundry portal
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Studio interfaces provide a friendly user interface to explore Azure AI services. There are different studios for different Azure AI services, such as Vision Studio, Language Studio, Speech Studio, and the Content Safety Studio. You can test out Azure AI services using the samples provided, or experiment with your own content. A studio-based approach allows you to explore, demo, and evaluate Azure AI services regardless of your experience with AI or coding.
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![Screenshot of Azure AI Foundry portal home page.](../media/azure-ai-foundry-1.png)
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> [!NOTE]
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> In addition to studios for individual Azure AI services, Microsoft Azure has another portal, [**Azure AI Foundry portal**](https://ai.azure.com/), which combines access to multiple Azure AI services and generative AI models into one user interface.
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[**Azure AI Foundry portal**](https://ai.azure.com/) is a unified platform and visual interface for enterprise AI operations, model builders, and application development. Azure AI Foundry portal combines access to multiple Azure AI services and generative AI models into one user interface.
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![Screenshot of Azure AI Foundry portal Azure AI services page.](../media/azure-ai-foundry-3.png)
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## Associate the AI service resource
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Before you can use an AI service resource, you must associate it with the studio you want to use on the Settings page. Select the resource, and then select **Use Resource**. You are then ready to explore the Azure AI service within the studio.
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As an example, let's look at the Azure AI Foundry Content Safety service, which identifies harmful text or images. To explore what the Content Safety service does, let's use the Content Safety Studio. First create either a multi-service Azure AI services resource, or a single-service Content Safety resource. Then, on the Content Safety Studio Settings page, select the resource, and select **Use Resource**. The AI service you created is now associated with the Content Safety Studio, and ready to be used.
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> [!NOTE]
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> When developers incorporate an AI service into their applications, they often use a [SDK](/training/modules/create-manage-cognitive-services/5-use-sdk?azure-portal=true) or the [REST API](/training/modules/create-manage-cognitive-services/4-use-rest?azure-portal=true).

learn-pr/wwl-data-ai/fundamentals-azure-ai-services/index.yml

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- Understand how to use Azure AI services keys and endpoint for authentication
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- Create and use an Azure AI services resource in a Content Safety Studio setting
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prerequisites: None
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iconUrl: /training/achievements/generic-badge.svg
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levels:
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