Merge pull request #225667 from MicrosoftDocs/repo_sync_working_branch

huypub · web-flow · commit 98c763a8b87c · 2023-01-31T14:44:37.000-08:00
Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-docs (branch main)
diff --git a/articles/active-directory-b2c/azure-ad-b2c-global-identity-funnel-based-design.md b/articles/active-directory-b2c/azure-ad-b2c-global-identity-funnel-based-design.md
diff --git a/articles/active-directory/governance/using-multi-stage-reviews.md b/articles/active-directory/governance/using-multi-stage-reviews.md
@@ -1,6 +1,6 @@
 ---
-title: Using multi-stage reviews to meet your attestation and certification needs - Azure AD 
-description: Learn how to use multi-stage reviews to design more efficient reviews in Azure Active Directory. 
+title: Using multi-stage reviews to meet your attestation and certification needs - Microsoft Entra
+description: Learn how to use multi-stage reviews to design more efficient reviews with Microsoft Entra. 
 services: active-directory
 author: amsliu
 manager: amycolannino
@@ -16,9 +16,9 @@ ms.reviewer: florianf
 ms.collection: M365-identity-device-management
 ---
  
-# Using multi-stage reviews to meet your attestation and certification needs in Azure AD 
+# Using multi-stage reviews to meet your attestation and certification needs with Microsoft Entra 
 
-Azure AD Access Reviews support up to three review stages, in which multiple types of reviewers engage in determining who still needs access to company resources. These reviews could be for membership in groups or teams, access to applications, assignments to privileged roles, or access package assignments. When review administrators configure the review for automatic application of decisions, at the end of the review period, access is revoked for denied users.
+Microsoft Entra Access Reviews support up to three review stages, in which multiple types of reviewers engage in determining who still needs access to company resources. These reviews could be for membership in groups or teams, access to applications, assignments to privileged roles, or access package assignments. When review administrators configure the review for automatic application of decisions, at the end of the review period, access is revoked for denied users.
 
 ## Use cases for multi-stage reviews
 
diff --git a/articles/aks/TOC.yml b/articles/aks/TOC.yml
@@ -252,7 +252,7 @@
               href: start-stop-nodepools.md
             - name: Resize node pools
               href: resize-node-pool.md
-        - name: Use the Mariner container host
+        - name: Use the Mariner container host (preview)
           href: use-mariner.md
         - name: Deploy AKS with Terraform
           href: /azure/developer/terraform/create-k8s-cluster-with-tf-and-aks
diff --git a/articles/azure-functions/storage-considerations.md b/articles/azure-functions/storage-considerations.md
@@ -49,7 +49,7 @@ The storage account connection string must be updated when you regenerate storag
 
 It's possible for multiple function apps to share the same storage account without any issues. For example, in Visual Studio you can develop multiple apps using the [Azurite storage emulator](functions-develop-local.md#local-storage-emulator). In this case, the emulator acts like a single storage account. The same storage account used by your function app can also be used to store your application data. However, this approach isn't always a good idea in a production environment.
 
-You may need to use separate store accounts to [avoid host ID collisions](#avoiding-host-id-collisions).
+You may need to use separate storage accounts to [avoid host ID collisions](#avoiding-host-id-collisions).
 
 ### Lifecycle management policy considerations
 
diff --git a/articles/azure-monitor/logs/api/access-api.md b/articles/azure-monitor/logs/api/access-api.md
@@ -118,7 +118,7 @@ Use the `https://api.loganalytics.azure.com` endpoint.
 ##### Client Credentials Token URL (POST request)
 
 ```http
-    POST /<your-tenant-id>/oauth2/v2.0/token
+    POST /<your-tenant-id>/oauth2/token
     Host: https://login.microsoftonline.com
     Content-Type: application/x-www-form-urlencoded
     
diff --git a/articles/azure-resource-manager/bicep/install.md b/articles/azure-resource-manager/bicep/install.md
@@ -16,7 +16,7 @@ Let's make sure your environment is set up for working with Bicep files. To auth
 |  | [Visual Studio and Bicep extension](#visual-studio-and-bicep-extension) | automatic |
 | Deploy | [Azure CLI](#azure-cli) | automatic |
 |  | [Azure PowerShell](#azure-powershell) | [manual](#install-manually) |
-|  | [VS Code and Bicep extension](#vs-code-and-bicep-extension) | automatic |
+|  | [VS Code and Bicep extension](#vs-code-and-bicep-extension) | [manual](#install-manually) |
 |  | [Air-gapped cloud](#install-on-air-gapped-cloud) | download |
 
 ## VS Code and Bicep extension
diff --git a/articles/machine-learning/how-to-manage-quotas.md b/articles/machine-learning/how-to-manage-quotas.md
@@ -211,11 +211,19 @@ You manage the Azure Machine Learning compute quota on your subscription separat
 
 ## Request quota increases
 
-To raise the limit or quota above the default limit, [open an online customer support request](https://portal.azure.com/#blade/Microsoft_Azure_Support/HelpAndSupportBlade/newsupportrequest/) at no charge.
+To raise the limit or VM quota above the default limit, [open an online customer support request](https://portal.azure.com/#blade/Microsoft_Azure_Support/HelpAndSupportBlade/newsupportrequest/) at no charge.
 
 You can't raise limits above the maximum values shown in the preceding tables. If there's no maximum limit, you can't adjust the limit for the resource.
 
-When you're requesting a quota increase, select the service that you have in mind. For example, select Azure Machine Learning, Container Instances, or Storage. For Azure Machine Learning compute, you can select the **Request Quota** button while viewing the quota in the preceding steps.
+When you're requesting a quota increase, select the service that you have in mind. For example, select Machine Learning Service, Container Instances, or Storage. For Azure Machine Learning endpoint, you can select the **Request Quota** button while viewing the quota in the preceding steps.
+ 
+1. Scroll to **Machine Learning Service: Virtual Machine Quota**.
+ 
+    :::image type="content" source="./media/how-to-manage-quotas/virtual-machine-quota.png" lightbox="./media/how-to-manage-quotas/virtual-machine-quota.png" alt-text="Screenshot of the VM quota details form.":::
+
+2. Under **Additonal Details** specify the request details with the number of additional vCPUs required to run your Machine Learning Endpoint.
+ 
+    :::image type="content" source="./media/how-to-manage-quotas/vm-quota-request-additional-info.png" lightbox="./media/how-to-manage-quotas/vm-quota-request-additional-info.png" alt-text="Screenshot of the VM quota additional details form.":::
 
 > [!NOTE]
 > [Free trial subscriptions](https://azure.microsoft.com/offers/ms-azr-0044p) are not eligible for limit or quota increases. If you have a free trial subscription, you can upgrade to a [pay-as-you-go](https://azure.microsoft.com/offers/ms-azr-0003p/) subscription. For more information, see [Upgrade Azure free trial to pay-as-you-go](../cost-management-billing/manage/upgrade-azure-subscription.md) and [Azure free account FAQ](https://azure.microsoft.com/free/free-account-faq).
@@ -227,7 +235,7 @@ When requesting the quota increase, provide the following information:
 1. When opening the support request, select __Machine Learning Service: Endpoint Limits__ as the __Quota type__.
 1. On the __Additional details__ tab, select __Enter details__ and then provide the quota you'd like to increase and the new value, the reason for the quota increase request, and __location(s)__ where you need the quota increase. Finally, select __Save and continue__ to continue.
 
-    :::image type="content" source="./media/how-to-manage-quotas/quota-details.png" lightbox="./media/how-to-manage-quotas/quota-details.png" alt-text="Screenshot of the quota details form.":::
+    :::image type="content" source="./media/how-to-manage-quotas/quota-details.png" lightbox="./media/how-to-manage-quotas/quota-details.png" alt-text="Screenshot of the endpoint quota details form.":::
 
 ## Next steps
 
diff --git a/articles/machine-learning/media/how-to-manage-quotas/virtual-machine-quota.png b/articles/machine-learning/media/how-to-manage-quotas/virtual-machine-quota.png
diff --git a/articles/machine-learning/media/how-to-manage-quotas/vm-quota-request-additional-info.png b/articles/machine-learning/media/how-to-manage-quotas/vm-quota-request-additional-info.png
diff --git a/articles/machine-learning/reference-automl-images-hyperparameters.md b/articles/machine-learning/reference-automl-images-hyperparameters.md
@@ -110,7 +110,7 @@ The following hyperparameters are for object detection and instance segmentation
 | `box_score_threshold` | During inference, only return proposals with a classification score greater than `box_score_threshold`. <br> Must be a float in the range [0, 1].| 0.3 |
 | `nms_iou_threshold` | IOU (intersection over union) threshold used in non-maximum suppression (NMS) for the prediction head. Used during inference.  <br>Must be a float in the range [0, 1]. | 0.5 |
 | `box_detections_per_image` | Maximum number of detections per image, for all classes. <br> Must be a positive integer.| 100 |
-| `tile_grid_size` | The grid size to use for tiling each image. <br>*Note: tile_grid_size must not be None to enable [small object detection](how-to-use-automl-small-object-detect.md) logic*<br> Should be passed as a string in '3x2' format. Example: --tile_grid_size '3x2' | No Default |
+| `tile_grid_size` | The grid size to use for tiling each image. <br>*- `tile_grid_size` must not be None to enable [small object detection](how-to-use-automl-small-object-detect.md) logic.*<br>*- `tile_grid_size` is not supported for instance segmentation tasks.*<br> Should be passed as a string in '3x2' format. Example: --tile_grid_size '3x2' | No Default |
 | `tile_overlap_ratio` | Overlap ratio between adjacent tiles in each dimension. <br> Must be float in the range of [0, 1) | 0.25 |
 | `tile_predictions_nms_threshold` | The IOU threshold to use to perform NMS while merging predictions from tiles and image. Used in validation/ inference. <br> Must be float in the range of [0, 1] | 0.25 |
 
diff --git a/articles/machine-learning/tutorial-pipeline-python-sdk.md b/articles/machine-learning/tutorial-pipeline-python-sdk.md
@@ -207,6 +207,10 @@ Create the directory for this component:
 
 [!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=train_src_dir)]
 
+Create the training script in the directory:
+
+[!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=train.py)]
+
 As you can see in this training script, once the model is trained, the model file is saved and registered to the workspace. Now you can use the registered model in inferencing endpoints.
 
 
diff --git a/articles/static-web-apps/deploy-nextjs-hybrid.md b/articles/static-web-apps/deploy-nextjs-hybrid.md
@@ -31,7 +31,7 @@ Begin by initializing a new Next.js application.
 1. Initialize the application using `npm init`. If you are prompted to install `create-next-app`, say yes.
 
     ```bash
-    npm init next-app@latest -- --typescript
+    npm init next-app@latest --typescript
     ```
 
 1. When prompted for an app name, enter **nextjs-app**.
diff --git a/articles/virtual-machines/dcv3-series.md b/articles/virtual-machines/dcv3-series.md
@@ -18,7 +18,7 @@ The DCsv3 and DCdsv3-series Azure Virtual Machines help protect the confidential
 
 These machines are powered by the latest 3rd Generation Intel&reg; Xeon Scalable processors, and use Intel&reg; Turbo Boost Max Technology 3.0 to reach 3.5 GHz. 
 
-With this generation, CPU Cores have increased 6x (up to a maximum of 48 physical cores). Encrypted Memory (EPC) has increased 1500x to 256 GB. Regular Memory has increased 12x to 384 GB. All these changes substantially improve the performance and unlock new entirely new scenarios. 
+With this generation, CPU Cores have increased 6x (up to a maximum of 48 physical cores). Encrypted Memory (EPC) has increased 1500x to 256 GB. Regular Memory has increased 12x to 384 GB. All these changes substantially improve the performance and unlock entirely new scenarios. 
 
 > [!NOTE]
 > Hyperthreading is disabled for added security posture. Pricing is the same as Dv5 and Dsv5-series per physical core.
diff --git a/articles/virtual-network/create-vm-accelerated-networking-cli.md b/articles/virtual-network/create-vm-accelerated-networking-cli.md
@@ -16,7 +16,7 @@ ms.tgt_pltfrm: na
 ms.workload: infrastructure-services
 ms.date: 03/24/2022
 ms.author: allensu
-ms.custom: 
+ms.custom: fasttrack-edit
 
 ---
 # Create a Linux virtual machine with Accelerated Networking using Azure CLI
@@ -187,9 +187,10 @@ For more details on application binding requirements, see [How Accelerated Netwo
 ## Enable Accelerated Networking on existing VMs
 If you've created a VM without Accelerated Networking, it's possible to enable this feature on an existing VM. The VM must support Accelerated Networking by meeting the following prerequisites that are also outlined:
 
-* The VM must be a supported size for Accelerated Networking
-* The VM must be a supported Azure Gallery image (and kernel version for Linux)
-* All VMs in an availability set or VMSS must be stopped/deallocated before enabling Accelerated Networking on any NIC
+* The VM must be a supported size for Accelerated Networking.
+* The VM must be a supported Azure Gallery image (and kernel version for Linux).
+* All VMs in an availability set or VMSS must be stopped/deallocated before enabling Accelerated Networking on any NIC.
+* All individual VMs that are not in an availability set or VMSS must also be stopped/deallocated before enabling Accelerated Networking on any NIC.
 
 ### Individual VMs & VMs in an availability set
 First stop/deallocate the VM or, if an Availability Set, all the VMs in the Set:
