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articles/cognitive-services/language-service/conversational-language-understanding/how-to/deploy-query-model.md

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1. Click on *Add deployment* to submit a new deployment job
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:::image type="content" source="../media/add-deployment-model.png" alt-text="A screenshot showing the model deployment button in Language Studio." lightbox="../media/add-deployment-model.png":::
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:::image type="content" source="../media/add-deployment-model.png" alt-text="A screenshot showing the model deployment button in Language Studio." lightbox="../media/add-deployment-model.png":::
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2. In the window that appears, you can create a new deployment name by giving the deployment a name or override an existing deployment name. Then, you can add a trained model to this deployment name.
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:::image type="content" source="../media/create-deployment-job.png" alt-text="A screenshot showing the add deployment job screen in Language Studio." lightbox="../media/create-deployment-job.png":::
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:::image type="content" source="../media/create-deployment-job.png" alt-text="A screenshot showing the add deployment job screen in Language Studio." lightbox="../media/create-deployment-job.png":::
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#### Swap deployments
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If you would like to swap the models between two deployments, simply select the two deployment names you want to swap and click on **Swap deployments**. From the window that appears, select the deployment name you want to swap with.
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:::image type="content" source="../media/swap-deployment.png" alt-text="A screenshot showing swaping deployments in Language Studio." lightbox="../media/swap-deployment.png":::
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:::image type="content" source="../media/swap-deployment.png" alt-text="A screenshot showing a swapped deployment in Language Studio." lightbox="../media/swap-deployment.png":::
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#### Delete deployment
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1. Click on **Add deployment** to submit a new deployment job.
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Like conversation projects, In the window that appears, you can create a new deployment name by giving the deployment a name or override an existing deployment name. Then, you can add a trained model to this deployment name and press next.
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Like conversation projects, In the window that appears, you can create a new deployment name by giving the deployment a name or override an existing deployment name. Then, you can add a trained model to this deployment name and press next.
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:::image type="content" source="../media/create-deployment-job-orch.png" alt-text="A screenshot showing deployment job creation in Language Studio." lightbox="../media/create-deployment-job-orch.png":::
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:::image type="content" source="../media/create-deployment-job-orch.png" alt-text="A screenshot showing deployment job creation in Language Studio." lightbox="../media/create-deployment-job-orch.png":::
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2. If you're connecting one or more LUIS applications or conversational language understanding projects, specify the deployment name.
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No configurations are required for custom question answering or unlinked intents.
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No configurations are required for custom question answering or unlinked intents.
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LUIS projects **must be published** to the slot configured during the Orchestration deployment, and custom question answering KBs must also be published to their Production slots.
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LUIS projects **must be published** to the slot configured during the Orchestration deployment, and custom question answering KBs must also be published to their Production slots.
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:::image type="content" source="../media/deploy-connected-services.png" alt-text="A screenshot showing the deployment screen for orchestration workflow projects." lightbox="../media/deploy-connected-services.png":::
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:::image type="content" source="../media/deploy-connected-services.png" alt-text="A screenshot showing the deployment screen for orchestration workflow projects." lightbox="../media/deploy-connected-services.png":::
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## Send a Conversational Language Understanding request
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articles/cognitive-services/language-service/conversational-language-understanding/includes/quickstarts/language-studio.md

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Once you have a Language resource associated with your account, create a Conversational Language Understanding project. In this quickstart, you'll create a project that can identify commands for email, such as: reading emails by certain people, deleting emails, and attaching a document to an email.
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1. In [Language Studio](https://aka.ms/languageStudio), find the section labelled **Understand conversational language** and select **Conversational language understanding**.
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1. In [Language Studio](https://aka.ms/languageStudio), find the section named **Understand conversational language** and select **Conversational language understanding**.
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:::image type="content" source="../../media/select-custom-clu.png" alt-text="A screenshot showing the location of Custom Language Understanding in the Language Studio landing page." lightbox="../../media/select-custom-clu.png":::
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articles/cognitive-services/language-service/custom-classification/how-to/call-api.md

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5. In the response header you receive extract `jobId` from `operation-location`, which has the format: `{YOUR-ENDPOINT}/text/analytics/v3.2-preview.2/analyze/jobs/<jobId}>`
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6. Copy the retrieve request and replace `<OPERATION-ID>` with `jobId` received form last step and submit the request.
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6. Copy the retrieve request and replace `<OPERATION-ID>` with `jobId` received from the last step and submit the request.
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:::image type="content" source="../media/get-prediction-url-3.png" alt-text="run-inference-3" lightbox="../media/get-prediction-url-3.png":::
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