Merge pull request #266579 from MicrosoftDocs/repo_sync_working_branch

Saisang · web-flow · commit e2e987830d18 · 2024-02-19T13:22:24.000+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/ai-services/document-intelligence/concept-read.md b/articles/ai-services/document-intelligence/concept-read.md
@@ -31,7 +31,7 @@ ms.author: lajanuar
 
 > [!NOTE]
 >
-> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Vision v4.0 preview Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
+> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Image Analysis v4.0 Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
 >
 
 Document Intelligence Read Optical Character Recognition (OCR) model runs at a higher resolution than Azure AI Vision Read and extracts print and handwritten text from PDF documents and scanned images. It also includes support for extracting text from Microsoft Word, Excel, PowerPoint, and HTML documents. It detects paragraphs, text lines, words, locations, and languages. The Read model is the underlying OCR engine for other Document Intelligence prebuilt models like Layout, General Document, Invoice, Receipt, Identity (ID) document, Health insurance card, W2 in addition to custom models.
diff --git a/articles/ai-services/openai/reference.md b/articles/ai-services/openai/reference.md
@@ -61,7 +61,7 @@ POST https://{your-resource-name}.openai.azure.com/openai/deployments/{deploymen
 - `2023-08-01-preview` (retiring April 2, 2024) [Swagger spec](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-08-01-preview/inference.json)
 - `2023-09-01-preview` (retiring April 2, 2024) [Swagger spec](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-09-01-preview/inference.json)
 - `2023-12-01-preview` [Swagger spec](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-12-01-preview/inference.json)
-- `2024-02-15-preview`[Swagger spec](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-12-15-preview/inference.json)
+- `2024-02-15-preview`[Swagger spec](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-02-15-preview/inference.json)
 
 **Request body**
 
diff --git a/articles/azure-monitor/containers/container-insights-overview.md b/articles/azure-monitor/containers/container-insights-overview.md
@@ -77,6 +77,9 @@ No. Container insights don't support collection of Kubernetes audit logs.
 **Does Container Insights support pod sandboxing?**
 Yes, Container Insights supports pod sandboxing through support for Kata Containers. See [Pod Sandboxing (preview) with Azure Kubernetes Service (AKS)](../../aks/use-pod-sandboxing.md).
 
+**Is it possible for a single AKS cluster to use multiple Log Analytics workspaces in Container Insights?**
+No. Container insights only accepts one Log Analytics Workspace in Container Insights for each AKS cluster.
+
 ## Next steps
 
 - See [Enable monitoring for Kubernetes clusters](kubernetes-monitoring-enable.md) to enable Managed Prometheus and Container insights on your cluster.
diff --git a/articles/azure-resource-manager/templates/linked-templates.md b/articles/azure-resource-manager/templates/linked-templates.md
@@ -647,7 +647,7 @@ Make sure there is no leading "?" in QueryString. The deployment adds one when a
 
 ## Template specs
 
-Instead of maintaining your linked templates at an accessible endpoint, you can create a [template spec](template-specs.md) that packages the main template and its linked templates into a single entity you can deploy. The template spec is a resource in your Azure subscription. It makes it easy to securely share the template with users in your organization. You use Azure role-based access control (Azure RBAC) to grant access to the template spec. This feature is currently in preview.
+Instead of maintaining your linked templates at an accessible endpoint, you can create a [template spec](template-specs.md) that packages the main template and its linked templates into a single entity you can deploy. The template spec is a resource in your Azure subscription. It makes it easy to securely share the template with users in your organization. You use Azure role-based access control (Azure RBAC) to grant access to the template spec.
 
 For more information, see:
 
diff --git a/articles/open-datasets/dataset-gatk-resource-bundle.md b/articles/open-datasets/dataset-gatk-resource-bundle.md
@@ -64,14 +64,22 @@ This dataset is stored in the West US 2 and West Central US Azure regions. Alloc
     
     [SAS Token](../storage/common/storage-sas-overview.md): ?sv=2020-04-08&si=prod&sr=c&sig=DQxmjB4D1lAfOW9AxIWbXwZx6ksbwjlNkixw597JnvQ%3D
 
-5. datasetbroadpublic
+    South Central US: 'https://datasetpublicbroadrefsc.blob.core.windows.net/dataset'
+    
+    [SAS Token](../storage/common/storage-sas-overview.md): ?sv=2023-01-03&st=2024-02-12T19%3A56%3A11Z&se=2029-02-13T19%3A56%3A00Z&sr=c&sp=rl&sig=oGiNUGZ08PaabHVNtIiVEpJ1kcyqcL6ZadQcuN2ns%2FM%3D
+
+6. datasetbroadpublic
 
     West US 2: 'https://datasetbroadpublic.blob.core.windows.net/dataset'
     
     West Central US: 'https://datasetbroadpublic-secondary.blob.core.windows.net/dataset'
     
     [SAS Token](../storage/common/storage-sas-overview.md): ?sv=2020-04-08&si=prod&sr=c&sig=u%2Bg2Ab7WKZEGiAkwlj6nKiEeZ5wdoJb10Az7uUwis%2Fg%3D
 
+    South Central US: 'https://datasetbroadpublicsc.blob.core.windows.net/dataset'
+         
+    [SAS Token](../storage/common/storage-sas-overview.md): ?sv=2023-01-03&st=2024-02-12T19%3A58%3A33Z&se=2029-02-13T19%3A58%3A00Z&sr=c&sp=rl&sig=C2lDhe1uwu%2FJnC9rbQO65G6%2BdEUQ%2Fl0VheXrlnIQVAs%3D
+
 ## Use Terms
 
 Visit the [GATK resource bundle official site](https://gatk.broadinstitute.org/hc/articles/360035890811-Resource-bundle).
diff --git a/articles/open-datasets/dataset-human-reference-genomes.md b/articles/open-datasets/dataset-human-reference-genomes.md
@@ -34,7 +34,7 @@ This dataset contains approximately 10 GB of data and is updated daily.
 
 ## Storage location
 
-This dataset is stored in the West US 2 and West Central US Azure regions. Allocating compute resources in West US 2 or West Central US is recommended for affinity.
+This dataset is stored in the West US 2, West Central US and South Central US Azure regions. Allocating compute resources in West US 2 or West Central US or South Central US is recommended for affinity.
 
 ## Data Access
 
@@ -44,6 +44,10 @@ West Central US: 'https://datasetreferencegenomes-secondary.blob.core.windows.ne
 
 [SAS Token](../storage/common/storage-sas-overview.md): sv=2019-02-02&se=2050-01-01T08%3A00%3A00Z&si=prod&sr=c&sig=JtQoPFqiC24GiEB7v9zHLi4RrA2Kd1r%2F3iFt2l9%2FlV8%3D
 
+South Central US: 'https://datasetreferencegenomesc.blob.core.windows.net/dataset'
+
+[SAS Token](../storage/common/storage-sas-overview.md): sv=2023-01-03&st=2024-02-12T20%3A07%3A21Z&se=2029-02-13T20%3A07%3A00Z&sr=c&sp=rl&sig=ASZYVyhqLOXKsT%2BcTR8MMblFeI4uZ%2Bnno%2FCnQk2RaFs%3D
+
 ## Use Terms
 
 Data is available without restrictions. For more information and citation details, see the [NCBI Reference Sequence Database site](https://www.ncbi.nlm.nih.gov/refseq/).
@@ -127,4 +131,4 @@ blob_service_client.get_blob_to_path('dataset/vertebrate_mammalian/Homo_sapiens/
 
 ## Next steps
 
-View the rest of the datasets in the [Open Datasets catalog](dataset-catalog.md).
+View the rest of the datasets in the [Open Datasets catalog](dataset-catalog.md).
diff --git a/includes/dev-tunnels/dev-tunnels-service-limits.md b/includes/dev-tunnels/dev-tunnels-service-limits.md
@@ -9,8 +9,8 @@ The following limits apply to [dev tunnels](https://aka.ms/devtunnels/docs). The
 
 | Resource | Limit |
 | --- | --- |
-| Bandwidth | 2 GB per user |
-| Tunnels | 5 per user |
+| Bandwidth | 5 GB per user |
+| Tunnels | 10 per user |
 | Active connections | 20 per port |
 | Ports | 10 per tunnel |
 | HTTP request rate | 1500/min per port |

Original file line number	Diff line number	Diff line change
`@@ -31,7 +31,7 @@ ms.author: lajanuar`
`31`	`31`
`32`	`32`	`> [!NOTE]`
`33`	`33`	`>`
`34`		`-> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Vision v4.0 preview Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.`
	`34`	`+> For extracting text from external images like labels, street signs, and posters, use the [Azure AI Image Analysis v4.0 Read](../../ai-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.`
`35`	`35`	`>`
`36`	`36`
`37`	`37`	Document Intelligence Read Optical Character Recognition (OCR) model runs at a higher resolution than Azure AI Vision Read and extracts print and handwritten text from PDF documents and scanned images. It also includes support for extracting text from Microsoft Word, Excel, PowerPoint, and HTML documents. It detects paragraphs, text lines, words, locations, and languages. The Read model is the underlying OCR engine for other Document Intelligence prebuilt models like Layout, General Document, Invoice, Receipt, Identity (ID) document, Health insurance card, W2 in addition to custom models.