Merge branch 'master' into release-arc-data

Author: v-alje

.openpublishing.redirection.json

@@ -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/active-directory/saas-apps/talentsoft-tutorial.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/applied-ai-services/form-recognizer/api-v2-0/includes/java-v3-0-0.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/durable/durable-functions-versioning.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/azure-functions/functions-bindings-timer.md

@@ -8,7 +8,7 @@ ms.topic: conceptual
 author: GithubMirek
 ms.author: mireks
 ms.reviewer: vanto
-ms.date: 10/21/2021
+ms.date: 11/03/2021
 ms.custom: ignite-fall-2021
 ---
 
@@ -397,7 +397,7 @@ When Azure AD-only authentication is enabled for SQL Database, the following fea
 - [Azure SQL Database server roles](security-server-roles.md)
 - [Elastic jobs](job-automation-overview.md)
 - [SQL Data Sync](sql-data-sync-data-sql-server-sql-database.md)
-- [Change data capture (CDC)](/sql/relational-databases/track-changes/about-change-data-capture-sql-server)
+- [Change data capture (CDC)](/sql/relational-databases/track-changes/about-change-data-capture-sql-server) - If you create a database in Azure SQL Database as an Azure AD user and enable change data capture on it, a SQL user will not be able to disable or make changes to CDC artifacts. However, another Azure AD user will be able to enable or disable CDC on the same database. Similarly, if you create an Azure SQL Database as a SQL user, enabling or disabling CDC as an Azure AD user won't work
 - [Transactional replication](/azure/azure-sql/managed-instance/replication-transactional-overview) - Since SQL authentication is required for connectivity between replication participants, when Azure AD-only authentication is enabled, transactional replication is not supported for SQL Database for scenarios where transactional replication is used to push changes made in an Azure SQL Managed Instance, on-premises SQL Server, or an Azure VM SQL Server instance to a database in Azure SQL Database
 - [SQL insights](/azure/azure-monitor/insights/sql-insights-overview)
 - EXEC AS statement for Azure AD group member accounts

articles/azure-sql/database/authentication-azure-ad-only-authentication.md

@@ -83,7 +83,7 @@ You'll run the `New-AvsLDAPSIdentitySource` cmdlet to add an AD over LDAP with S
    | **Name**  | User-friendly name of the external identity source, for example, **avslap.local**.  |
    | **DomainName**  | The FQDN of the domain.   |
    | **DomainAlias**  | For Active Directory identity sources, the domain's NetBIOS name. Add the NetBIOS name of the AD domain as an alias of the identity source if you're using SSPI authentications.     |
-   | **PrimaryUrl**  | Primary URL of the external identity source, for example, **ldap://yourserver:389**.  |
+   | **PrimaryUrl**  | Primary URL of the external identity source, for example, **ldap://yourserver:636**.  |
    | **SecondaryURL**  | Secondary fall-back URL if there's primary failure.  |
    | **BaseDNUsers**  |  Where to look for valid users, for example, **CN=users,DC=yourserver,DC=internal**.  Base DN is needed to use LDAP Authentication.  |
    | **BaseDNGroups**  | Where to look for groups, for example, **CN=group1, DC=yourserver,DC= internal**. Base DN is needed to use LDAP Authentication.  |

articles/azure-vmware/configure-identity-source-vcenter.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/cognitive-services/language-service/overview.md

@@ -136,9 +136,9 @@ For more information about connecting to Linux VMs, see [Create a Linux VM on Az
 ## Install Azure DCAP Client
 
 > [!NOTE]
-> Trusted Hardware Identity Management (THIM) is a free Azure service that helps you manage the hardware identities of different Trusted Execution Environments (TEEs). It fetches collateral from Intel Provisioning Certification Service (PCS) and caches it. The service enforces a minimum Trusted Compute Base (TCB) level as Azure security baseline, for attestation purposes.
+> Trusted Hardware Identity Management (THIM) is a free Azure service that helps you manage the hardware identities of different Trusted Execution Environments (TEEs). It fetches collateral from Intel Provisioning Certification Service (PCS) and caches it. The service enforces a minimum Trusted Compute Base (TCB) level as Azure security baseline, for attestation purposes. For DCsv3 and DCdsv3-series Azure VMs, the Intel certificates can only be fetched from THIM, as it is not possible to make direct calls to Intel service from the VMs. 
 
-DCsv2, DCsv3 and DCdsv3-series Azure VM users are recommended to install Azure DCAP client to interact with THIM and fetch TEE collateral for quote generation, during attestation process. To learn more about attestation, please refer to [Microsoft Azure Attestation](/azure/attestation/overview) or [ECDSA Attestation](https://www.intel.com/content/www/us/en/developer/tools/software-guard-extensions/attestation-services.html).
+With the release of the Intel® Xeon Scalable Processors, remote attestation support is changing. DCsv3 and DCdsv3 only support [ECDSA-based Attestation](https://www.intel.com/content/www/us/en/developer/tools/software-guard-extensions/attestation-services.html) and the users are required to install [Azure DCAP](https://github.com/Microsoft/Azure-DCAP-Client) client to interact with THIM and fetch TEE collateral for quote generation during attestation process. DCsv2 continues to support [EPID-based Attestation](https://www.intel.com/content/www/us/en/developer/tools/software-guard-extensions/attestation-services.html). 
 
 ## Clean up resources
 
@@ -154,3 +154,6 @@ Discover how you can build confidential computing applications, by continuing to
 
 > [!div class="nextstepaction"]
 > [Building Open Enclave SDK Samples](https://github.com/openenclave/openenclave/blob/master/samples/README.md)
+
+Microsoft Azure Attestation is free and ECDSA-based attestation framework, for remotely verifying the trustworthiness of multiple TEEs and integrity of the binaries running inside it. Learn [more](/azure/attestation/overview)
+

articles/confidential-computing/quick-create-portal.md

@@ -50,6 +50,9 @@ Azure Kubernetes Service provides a fully managed Kubernetes option in Azure. It
 ### Azure Functions
 Azure Functions is a serverless Functions-as-a-Service (FaaS) solution. It's optimized for running event-driven functions using the functions programming model. It shares many characteristics with Azure Container Apps around scale and integration with events, but optimized for ephemeral functions deployed as either code or containers. The Azure Functions programming model provides productivity benefits for teams looking to trigger on events and bind to other data sources. When building FaaS-style functions, Azure Functions is the ideal option. The Azure Functions programming model is available as a base container image, making it portable to other container based compute platforms allowing teams to reuse code as  environment requirements change.
 
+### Azure Spring Cloud
+Azure Spring Cloud makes it easy to deploy Spring Boot microservice applications to Azure without any code changes. The service manages the infrastructure of Spring Cloud applications so developers can focus on their code. Azure Spring Cloud provides lifecycle management using comprehensive monitoring and diagnostics, configuration management, service discovery, CI/CD integration, blue-green deployments, and more. If your team or organization is predominantly Spring, Azure Spring Cloud is an ideal fit.
+
 ## Next steps
 
 > [!div class="nextstepaction"]