Merge pull request #262332 from MicrosoftDocs/main

1/3/2024 PM Publish

Author: Taojunshen

.openpublishing.redirection.azure-monitor.json

@@ -6468,6 +6468,12 @@
             "source_path_from_root": "/articles/azure-monitor/vm/vminsights-configure-workspace.md",
             "redirect_url": "/azure/azure-monitor/vm/vminsights-enable-overview",
             "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/azure-monitor/logs/data-collection-rule-sample-custom-logs.md",
+            "redirect_url": "/azure/azure-monitor/essentials/data-collection-rule-samples",
+            "redirect_document_id": false
         }
+        
     ]
 }

.openpublishing.redirection.defender-for-cloud.json

@@ -905,6 +905,11 @@
             "redirect_url": "/azure/defender-for-cloud/how-to-manage-attack-path",
             "redirect_document_id": true
         },
+        {
+            "source_path_from_root": "/articles/defender-for-cloud/integration-overview.md",
+            "redirect_url": "/azure/defender-for-cloud/integration-servicenow",
+            "redirect_document_id": true
+        },
         {
             "source_path_from_root": "/articles/defender-for-cloud/tutorial-security-incident.md",
             "redirect_url": "/azure/defender-for-cloud/managing-and-responding-alerts",

articles/active-directory-b2c/integrate-with-app-code-samples.md

@@ -26,7 +26,7 @@ The following tables provide links to samples for applications including iOS, An
 | [dotnetcore-webapp-msal-api](https://github.com/Azure-Samples/active-directory-aspnetcore-webapp-openidconnect-v2/tree/master/4-WebApp-your-API/4-2-B2C) | An ASP.NET Core web application that can sign in a user using Azure AD B2C, get an access token using MSAL.NET and call an API. |
 | [auth-code-flow-nodejs](https://github.com/Azure-Samples/active-directory-b2c-msal-node-sign-in-sign-out-webapp) | A Node.js app that shows how to enable authentication (sign in, sign out and profile edit) in a Node.js web application using Azure Active Directory B2C. The web app uses MSAL-node.|
 | [javascript-nodejs-webapi](https://github.com/Azure-Samples/active-directory-b2c-javascript-nodejs-webapi) | A small Node.js Web API for Azure AD B2C that shows how to protect your web api and accept B2C access tokens using passport.js. |
-| [ms-identity-python-webapp](https://github.com/Azure-Samples/ms-identity-python-webapp/blob/main/README_B2C.md) | Demonstrate how to Integrate B2C of Microsoft identity platform with a Python web application.  |
+| [ms-identity-python-webapp](https://github.com/Azure-Samples/ms-identity-python-webapp/blob/main/README.md) | Demonstrate how to Integrate B2C of Microsoft identity platform with a Python web application.  |
 
 ## Single page apps
 

articles/advisor/advisor-reference-reliability-recommendations.md

@@ -645,6 +645,23 @@ In active-active configuration, both instances of the VPN gateway establish S2S
 
 Learn more about [Virtual network gateway - VNetGatewayActiveActive (Enable Active-Active gateways for redundancy)](https://aka.ms/aa_vpnha_learnmore).
 
+### Use HEAD health probes
+
+For health probes, it’s a good practice to use the HEAD method, which reduces the amount of traffic load on your origins.
+
+Learn more about [Front Door - Use HEAD health probes](https://aka.ms/afd-use-health-probes).
+
+### Use managed TLS certificates
+
+Front Door management of your TLS certificates reduces your operational costs and helps you to avoid costly outages caused by forgetting to renew a certificate.
+
+Learn more about [Use managed TLS certificates](https://aka.ms/afd-use-managed-tls).
+
+### Disable health probes when there is only one origin in an origin group
+
+If you only have a single origin, Front Door always routes traffic to that origin even if its health probe reports an unhealthy status. The status of the health probe doesn't do anything to change Front Door's behavior. In this scenario, health probes don't provide a benefit and you should disable them to reduce the traffic on your origin.
+
+Learn more about [Health probe best practices](https://aka.ms/afd-disable-health-probes).
 
 ## SAP for Azure
 

articles/ai-services/language-service/key-phrase-extraction/tutorials/integrate-power-bi.md

@@ -248,7 +248,7 @@ Here are two versions of a Language Detection function. The first returns the IS
     headers     = [#"Ocp-Apim-Subscription-Key" = apikey],
     bytesresp   = Web.Contents(endpoint, [Headers=headers, Content=bytesbody]),
     jsonresp    = Json.Document(bytesresp),
-    language    jsonresp [documents]{0}[detectedLanguage] [Name] in language 
+    language    =jsonresp [documents]{0}[detectedLanguage] [name] in language 
 ```
 
 Finally, here's a variant of the Key Phrases function already presented that returns the phrases as a list object, rather than as a single string of comma-separated phrases. 

articles/ai-services/language-service/summarization/includes/regional-availability.md

@@ -13,9 +13,9 @@ ms.custom:
 ---
 
 > [!IMPORTANT]
-> One preview region, Sweden Central, showcases our latest and continually evolving LLM fine tuning techniques, where all summarization capabilities are available. We welcome customers to join our early adopter community by filling out the [access request form](https://aka.ms/applyforgatedsummarizationfeatures). Your valuable feedback is vital to our continuous enhancement.
+> Our preview region, Sweden Central, showcases our latest and continually evolving LLM fine tuning techniques based on GPT models. You are welcome to try them out with a Langauge resource in the Sweden Central region.
 >
 > Conversation summarization is only available using:
 >  - REST API
 >  - Python
->  - C#
+>  - C#

articles/ai-services/openai/supported-languages.md

@@ -22,10 +22,10 @@ Azure OpenAI supports the following programming languages.
 | C#         | [Source code](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/openai/Azure.AI.OpenAI/src) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.OpenAI/) | [C# examples](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/openai/Azure.AI.OpenAI/tests/Samples)       |
 | Go         | [Source code](https://github.com/Azure/azure-sdk-for-go/tree/main/sdk/ai/azopenai) | [Package (Go)](https://pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai)| [ Go examples](https://pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai#pkg-examples) |
 | Java       | [Source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/openai/azure-ai-openai) | [Artifact (Maven)](https://central.sonatype.com/artifact/com.azure/azure-ai-openai/) | [Java examples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/openai/azure-ai-openai/src/samples) |
-| JavaScript | [Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai) | [Package (npm)](https://www.npmjs.com/package/@azure/openai) | [JavaScript examples](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/openai/Azure.AI.OpenAI/tests/Samples) |
+| JavaScript | [Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai) | [Package (npm)](https://www.npmjs.com/package/@azure/openai) | [JavaScript examples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/openai/openai/samples/) |
 | Python     |  [Source code](https://github.com/openai/openai-python) | [Package (PyPi)](https://pypi.org/project/openai/) | [Python examples](./how-to/switching-endpoints.md) |
 
 ## Next steps
 
 - Explore each programming language in our step-by-step [quickstarts](./chatgpt-quickstart.md)
-- To see what models are currently supported, check out the [Azure OpenAI models page](./concepts/models.md)
+- To see what models are currently supported, check out the [Azure OpenAI models page](./concepts/models.md)

articles/ai-services/responsible-use-of-ai-overview.md

@@ -46,7 +46,6 @@ Azure AI services provides information and guidelines on how to responsibly use
 ## Azure AI Vision - Spatial Analysis
 
 * [Transparency note and use cases](/legal/cognitive-services/computer-vision/transparency-note-spatial-analysis?context=/azure/ai-services/computer-vision/context/context)
-* [Characteristics and limitations](/legal/cognitive-services/computer-vision/accuracy-and-limitations?context=/azure/ai-services/computer-vision/context/context)
 * [Responsible use in AI deployment](/legal/cognitive-services/computer-vision/responsible-use-deployment?context=/azure/ai-services/computer-vision/context/context)
 * [Disclosure design guidelines](/legal/cognitive-services/computer-vision/disclosure-design?context=/azure/ai-services/computer-vision/context/context)
 * [Research insights](/legal/cognitive-services/computer-vision/research-insights?context=/azure/ai-services/computer-vision/context/context)

articles/ai-services/translator/custom-translator/overview.md

@@ -50,7 +50,7 @@ With [Custom Translator](https://portal.customtranslator.azure.ai), training and
 
 The secure [Custom Translator](https://portal.customtranslator.azure.ai) portal enables users to upload training data, train systems, test systems, and deploy them to a production environment through an intuitive user interface. The system will then be available for use at scale within a few hours (actual time depends on training data size).
 
-[Custom Translator](https://portal.customtranslator.azure.ai) can also be programmatically accessed through a [dedicated API](https://custom-api.cognitive.microsofttranslator.com/swagger/). The API allows users to manage creating or updating training through their own app or webservice.
+[Custom Translator](https://portal.customtranslator.azure.ai) can also be programmatically accessed through a dedicated API. The API allows users to manage creating or updating training through their own app or webservice.
 
 The cost of using a custom model to translate content is based on the user's Translator Text API pricing tier. See the Azure AI services [Translator Text API pricing webpage](https://azure.microsoft.com/pricing/details/cognitive-services/translator-text-api/)
 for pricing tier details.