Merge pull request #178514 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to master to sync with https://github.com/MicrosoftDocs/azure-docs (branch master)

Author: huypub

articles/active-directory/saas-apps/talentsoft-tutorial.md

@@ -79,7 +79,7 @@ Follow these steps to enable Azure AD SSO in the Azure portal.
 1. Click **Set additional URLs** and perform the following step if you wish to configure the application in **SP** initiated mode:
 
     In the **Sign-on URL** text box, type a URL using the following pattern:
-    `https://<tenant>.talentsoft.com`
+    `https://<tenant>.talent-soft.com`
 
 	> [!NOTE]
 	> These values are not real. Update these values with the actual Identifier, Reply URL and Sign-on URL. Contact [Talentsoft Client support team](mailto:[email protected]) to get these values. You can also refer to the patterns shown in the **Basic SAML Configuration** section in the Azure portal.
@@ -142,4 +142,4 @@ You can also use Microsoft My Apps to test the application in any mode. When you
 
 ## Next steps
 
-Once you configure Talentsoft you can enforce session control, which protects exfiltration and infiltration of your organization’s sensitive data in real time. Session control extends from Conditional Access. [Learn how to enforce session control with Microsoft Cloud App Security](/cloud-app-security/proxy-deployment-aad).
+Once you configure Talentsoft you can enforce session control, which protects exfiltration and infiltration of your organization’s sensitive data in real time. Session control extends from Conditional Access. [Learn how to enforce session control with Microsoft Cloud App Security](/cloud-app-security/proxy-deployment-aad).

articles/applied-ai-services/form-recognizer/api-v2-0/includes/java-v3-0-0.md

@@ -15,7 +15,7 @@ ms.custom: ignite-fall-2021
 <!-- markdownlint-disable MD033 -->
 <!-- markdownlint-disable MD034 -->
 
-[Reference documentation](/java/api/overview/azure/ai-formrecognizer-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/formrecognizer/azure-ai-formrecognizer/src) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-formrecognizer) | [Samples](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/formrecognizer/azure-ai-formrecognizer/src/samples/README.md)
+[Reference documentation](/java/api/overview/azure/ai-formrecognizer-readme) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/azure-ai-formrecognizer_3.1.1/sdk/formrecognizer/azure-ai-formrecognizer/src) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-formrecognizer) | [Samples](https://github.com/Azure/azure-sdk-for-java/blob/azure-ai-formrecognizer_3.1.1/sdk/formrecognizer/azure-ai-formrecognizer/src/samples/README.md)
 
 ## Prerequisites
 
@@ -420,4 +420,4 @@ In this quickstart, you used the Form Recognizer Java client library to train mo
 > [Build a training data set](../../build-training-data-set.md)
 
 * [What is Form Recognizer?](../../overview.md)
-* The sample code from this guide (and more) can be found on [GitHub](https://github.com/Azure/azure-sdk-for-java/tree/master/sdk/formrecognizer/azure-ai-formrecognizer/src/samples).
+* The sample code from this guide (and more) can be found on [GitHub](https://github.com/Azure/azure-sdk-for-java/tree/azure-ai-formrecognizer_3.1.1/sdk/formrecognizer/azure-ai-formrecognizer/src/samples).

articles/azure-functions/durable/durable-functions-versioning.md

@@ -30,7 +30,7 @@ public static Task Run([OrchestrationTrigger] IDurableOrchestrationContext conte
 }
 ```
 
-This simplistic function takes the results of **Foo** and passes it to **Bar**. Let's assume we need to change the return value of **Foo** from `bool` to `int` to support a wider variety of result values. The result looks like this:
+This simplistic function takes the results of **Foo** and passes it to **Bar**. Let's assume we need to change the return value of **Foo** from `bool` to `string` to support a wider variety of result values. The result looks like this:
 
 ```csharp
 [FunctionName("FooBar")]

articles/azure-functions/functions-bindings-timer.md

@@ -272,14 +272,15 @@ When a timer trigger function is invoked, a timer object is passed into the func
 
 ```json
 {
-    "schedule":{
+    "Schedule":{
+        "AdjustForDST": true
     },
-    "scheduleStatus": {
-        "last":"2016-10-04T10:15:00+00:00",
-        "lastUpdated":"2016-10-04T10:16:00+00:00",
-        "next":"2016-10-04T10:20:00+00:00"
+    "ScheduleStatus": {
+        "Last":"2016-10-04T10:15:00+00:00",
+        "LastUpdated":"2016-10-04T10:16:00+00:00",
+        "Next":"2016-10-04T10:20:00+00:00"
     },
-    "isPastDue":false
+    "IsPastDue":false
 }
 ```
 

articles/cognitive-services/language-service/overview.md

@@ -36,7 +36,7 @@ Azure Cognitive Service for Language provides the following features:
 > | [Personally Identifiable Information (PII) detection](personally-identifiable-information/overview.md)     | This pre-configured feature identifies entities in text across several pre-defined categories of sensitive information, such as account information.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](named-entity-recognition/quickstart.md) |
 > | [Key phrase extraction](key-phrase-extraction/overview.md)     | This pre-configured feature evaluates unstructured text, and for each input document, returns a list of key phrases and main points in the text. | • [Language Studio](language-studio.md) <br> • [REST API and client-library](key-phrase-extraction/quickstart.md) <br> • [Docker container](key-phrase-extraction/how-to/use-containers.md)  |
 > |[Entity linking](entity-linking/overview.md)    | This pre-configured feature disambiguates the identity of an entity found in text and provides links to the entity on Wikipedia.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](entity-linking/quickstart.md) |
-> | [Text Analytics for health (preview)](text-analytics-for-health/overview.md)    | This pre-configured feature extracts information from unstructured medical texts, such as clinical notes and doctor's notes.  | • [Language Studio](language-studio.md) <br> • [REST API and client-library](text-analytics-for-health/quickstart.md) <br> • [Docker container](text-analytics-for-health/how-to/use-containers.md) |
+> | [Text Analytics for health](text-analytics-for-health/overview.md)    | This pre-configured feature extracts information from unstructured medical texts, such as clinical notes and doctor's notes.  | • [Language Studio](language-studio.md) <br> • [REST API and client-library](text-analytics-for-health/quickstart.md) <br> • [Docker container](text-analytics-for-health/how-to/use-containers.md) |
 > | [Custom NER](custom-named-entity-recognition/overview.md)    | Build an AI model to extract custom entity categories, using unstructured text that you provide. |  • [Language Studio](custom-named-entity-recognition/quickstart.md?pivots=language-studio) <br> • [REST API](custom-named-entity-recognition/quickstart.md?pivots=rest-api) |
 > | [Analyze sentiment and opinions](sentiment-opinion-mining/overview.md)     | This pre-configured feature provides sentiment labels (such as "*negative*", "*neutral*" and "*positive*") for sentences and documents. This feature can additionally provide granular information about the opinions related to words that appear in the text, such as the attributes of products or services. |  • [Language Studio](language-studio.md) <br> • [REST API and client-library](sentiment-opinion-mining/quickstart.md) <br> • [Docker container](sentiment-opinion-mining/how-to/use-containers.md)
 > |[Language detection](language-detection/overview.md)    | This pre-configured feature evaluates text, and determines the language it was written in. It returns a language identifier and a score that indicates the strength of the analysis.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](language-detection/quickstart.md) <br> • [Docker container](language-detection/how-to/use-containers.md) |

articles/dns/private-dns-virtual-network-links.md

@@ -21,7 +21,7 @@ From the virtual network perspective, private DNS zone becomes the registration
 
 ## Resolution virtual network
 
-If you choose to link your virtual network with the private DNS zone without autoregistion. The virtual network is treated as a resolution virtual network only. DNS records for virtual machines deployed this virtual network won't be created automatically in the private zone. However, virtual machines deployed in the virtual network can successfully query for DNS records in the private zone. These records include manually created and auto registered records from other virtual networks linked to the private DNS zone.
+If you choose to link your virtual network with the private DNS zone without autoregistration. The virtual network is treated as a resolution virtual network only. DNS records for virtual machines deployed this virtual network won't be created automatically in the private zone. However, virtual machines deployed in the virtual network can successfully query for DNS records in the private zone. These records include manually created and auto registered records from other virtual networks linked to the private DNS zone.
 
 One private DNS zone can have multiple resolution virtual networks and a virtual network can have multiple resolution zones associated to it.
 
@@ -49,4 +49,4 @@ To understand how many registration and resolution networks, you can link to pri
 
 * Read about some common [private zone scenarios](./private-dns-scenarios.md) that can be realized with private zones in Azure DNS.
 
-* For common questions and answers about private zones in Azure DNS, including specific behavior you can expect for certain kinds of operations, see [Private DNS FAQ](./dns-faq-private.yml).
+* For common questions and answers about private zones in Azure DNS, including specific behavior you can expect for certain kinds of operations, see [Private DNS FAQ](./dns-faq-private.yml).