Update deploy-query-model.md

Author: BaherAbdullah

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

@@ -18,28 +18,53 @@ ms.custom: language-service-clu, ignite-fall-2021
 
 After you have [trained a model](./train-model.md) on your dataset, you're ready to deploy it. After deploying your model, you'll be able to query it for predictions. 
 
+> [!Tip]
+> Before deploying a model, make sure to view the model details to make sure that the model is performing as expected.
+
 ## Deploy model
 
-Deploying a model is to host it and make it available for predictions through an endpoint. You can only have 1 deployed model per project, deploying another one will overwrite the previously deployed model.
+Deploying a model hosts and makes it available for predictions through an endpoint.
 
 When a model is deployed, you will be able to test the model directly in the portal or by calling the API associated to it.
 
-Simply select a model and click on deploy model in the Deploy model page. 
+### Conversation projects deployments
+
+1.	Click on *Add deployment* to submit a new deployment job
+
+:::image type="content" source="../media/add-deployment-model.png" alt-text="A screenshot showing the model deployment page in Language Studio." lightbox="../media/add-deploy-model.png":::
+
+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.
+
+:::image type="content" source="../media/create-deployment-job.png" alt-text="A screenshot showing deployment job creation in Language Studio." lightbox="../media/create-deployment-job.png":::
+
+
+#### Swap deployments
 
-:::image type="content" source="../media/deploy-model.png" alt-text="A screenshot showing the model deployment page in Language Studio." lightbox="../media/deploy-model.png":::
+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.
+
+:::image type="content" source="../media/swap-deployment.png" alt-text="A screenshot showing swaping deployments in Language Studio." lightbox="../media/swap-deployment.png":::
+
+#### Delete deployment
+
+To delete a deployment, select the deployment you want to delete and click on **Delete deployment**.
 
 > [!TIP]
 > If you're using the REST API, see the [quickstart](../quickstart.md?pivots=rest-api#deploy-your-model) and REST API [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/language-authoring-clu-apis-2021-11-01-preview/operations/Deployments_TriggerDeploymentJob) for examples and more information.
 
-**Orchestration workflow projects deployments**
+> [!NOTE]
+> You can only have ten deployment names.
+
+### Orchestration workflow projects deployments
+
+1.	Click on **Add deployment** to submit a new deployment job.
+
+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.
 
-When you're deploying an orchestration workflow project, A small window will show up for you to confirm your deployment, and configure parameters for connected services.
+:::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":::
 
-If you're connecting one or more LUIS applications, specify the deployment name, and whether you're using *slot* or *version* type deployment.       
-* The *slot* deployment type requires you to pick between a production and staging slot.
-* The *version* deployment type requires you to specify the version you have published.
+2. If you're connecting one or more LUIS applications or conversational language understanding projects, specify the deployment name.
 
-No configurations are required for custom question answering and conversational language understanding connections, or unlinked intents.
+No configurations are required for custom question answering or unlinked intents.
 
 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.