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@@ -4195,6 +4195,12 @@
         },
         {
 
+           "source_path_from_root": "/articles/cosmos-db/how-to-move-regions.md",
+           "redirect_url": "/azure/operational-excellence/relocation-cosmos-db",
+           "redirect_document_id": false
+
+        },
+        {
            "source_path_from_root": "/articles/site-recovery/move-vaults-across-regions.md",
             "redirect_url": "/azure/operational-excellence/relocation-site-recovery",
             "redirect_document_id": false
 
@@ -274,6 +274,12 @@ sections:
 
           * API connectors
           * Conditional Access
+
+      - question: |
+          I am using rolling refresh tokens for my application and I am getting an invalid_grant error on redeeming newly acquired refresh tokens well within their set validity period. Why does this happen? 
+        answer: |
+          While determining validity for rolling refresh tokens, B2C will consider the initial login time of the user in the application also to calculate the token validity skew. If the user haven't logged out of the application for a very long time, this skew value will exceed the validity period of the token and hence for security reasons the tokens will be considered as invalid. Hence the error. Inform the user to perform a proper logout and login back into the application and this should reset the skew. This scenario is not applicable if refresh token rolling is set as infinite rolling.
+             
           
       - question: |
           I've revoked the refresh token using Microsoft Graph invalidateAllRefreshTokens, or Microsoft Graph PowerShell,  Revoke-MgUserSignInSession. Why is Azure AD B2C still accepting the old refresh token?
@@ -286,6 +292,9 @@ sections:
           1. Wait for 10 minutes.
           
           1. Retrieve the `RefreshToken` again.
+
+          > [!TIP]
+          > With Azure AD B2C [custom policy](custom-policy-overview.md), you can reduce the above mentioned skew time of 5 minutes (300000 milliseconds)  by adjusting the value for InputParameter "TreatAsEqualIfWithinMillseconds" under claim transformation Id "AssertRefreshTokenIssuedLaterThanValidFromDate". This claim transformation can be found in the TrustFrameworkBase.xml file under latest custom policy [stater-pack](https://learn.microsoft.com/en-us/azure/active-directory-b2c/tutorial-create-user-flows?pivots=b2c-custom-policy#get-the-starter-pack). 
           
       - question: |
          I use multiple tabs in a web browser to sign in to multiple applications that I registered in the same Azure AD B2C tenant. When I try to perform a single sign-out, not all of the applications are signed out. Why does this happen? 
 
@@ -23,7 +23,7 @@ zone_pivot_groups: b2c-policy-type
 
 [!INCLUDE [active-directory-b2c-choose-user-flow-or-custom-policy](../../includes/active-directory-b2c-choose-user-flow-or-custom-policy.md)]
 
-With Azure Active Directory B2C (Azure AD B2C) [HTML templates](customize-ui-with-html.md), you can craft your users' identity experiences. Your HTML templates can contain only certain HTML tags and attributes. Basic HTML tags, such as &lt;b&gt;, &lt;i&gt;, &lt;u&gt;, &lt;h1&gt;, and &lt;hr&gt; are allowed. More advanced tags such as &lt;script&gt;, and &lt;iframe&gt; are removed for security reasons but the `<script>` tag should be added in the `<head>` tag.
+With Azure Active Directory B2C (Azure AD B2C) [HTML templates](customize-ui-with-html.md), you can craft your users' identity experiences. Your HTML templates can contain only certain HTML tags and attributes. Basic HTML tags, such as &lt;b&gt;, &lt;i&gt;, &lt;u&gt;, &lt;h1&gt;, and &lt;hr&gt; are allowed. More advanced tags such as &lt;script&gt;, and &lt;iframe&gt; are removed for security reasons but the `<script>` tag should be added in the `<head>` tag. From selfasserted page layout version 2.1.21 / unifiedssp version 2.1.10 / multifactor version 1.2.10 onwards B2C doesn't support adding scripts in `<body>` tag (as this can pose a risk for cross site scripting attack). Migrating existing scripts from `<body>` to `<head>` may at-times require rewriting existing scripts with mutation observers for proper working.
 
 The `<script>` tag should be added in the `<head>` tag in two ways:  
 
 
@@ -80,8 +80,8 @@ The following table describes the limits on the scale of your custom model proje
 | Max # training images               | 1,000,000                       | 200,000                         |
 | Max # evaluation images             | 100,000                        | 100,000                         |
 | Min # training images per category  | 2                               | 2                               |
-| Max # tags per image                | multiclass: 1                   | NA                              |
-| Max # regions per image             | NA                              | 1,000                           |
+| Max # tags per image                | 1                               | N/A                            |
+| Max # regions per image             | N/A                              | 1,000                           |
 | Max # categories                    | 2,500                           | 1,000                           |
 | Min # categories                    | 2                               | 1                               |
 | Max image size (Training)           | 20 MB                            | 20 MB                            |
 
@@ -30,6 +30,8 @@ This documentation contains the following article types:
 
 The following are a few scenarios in which a software developer or team would require a content moderation service:
 
+- User prompts submitted to a generative AI service. 
+- Content produced by generative AI models.
 - Online marketplaces that moderate product catalogs and other user-generated content.
 - Gaming companies that moderate user-generated game artifacts and chat rooms.
 - Social messaging platforms that moderate images and text added by their users.
 
@@ -66,6 +66,10 @@ The host is a x64-based computer that runs the Docker container. It can be a com
 * [Azure Container Instances](../../../container-instances/index.yml).
 * A [Kubernetes](https://kubernetes.io/) cluster deployed to [Azure Stack](/azure-stack/operator). For more information, see [Deploy Kubernetes to Azure Stack](/azure-stack/user/azure-stack-solution-template-kubernetes-deploy).
 
+> [!NOTE]
+>
+> Note that Studio container cannot be deployed and run in Azure Kubernetes Service. Studio container is only supported to be run on local machine.
+
 ### Container requirements and recommendations
 
 #### Required supporting containers
 
@@ -38,7 +38,7 @@ A model is an object that's trained to do a certain task, in this case conversat
 
 ## Overfitting
 
-Overfitting happens when the model is fixated on the specific examples and is not able to generalize well.
+Overfitting happens when the model is fixated on the specific examples and isn't able to generalize well.
 
 ## Precision
 Measures how precise/accurate your model is. It's the ratio between the correctly identified positives (true positives) and all identified positives. The precision metric reveals how many of the predicted classes are correctly labeled.
@@ -53,14 +53,14 @@ Measures the model's ability to predict actual positive classes. It's the ratio
 A regular expression entity represents a regular expression. Regular expression entities are exact matches.
 
 ## Schema
-Schema is defined as the combination of intents and entities within your project. Schema design is a crucial part of your project's success. When creating a schema, you want think about which intents and entities should be included in your project
+Schema is defined as the combination of intents and entities within your project. Schema design is a crucial part of your project's success. When creating a schema, you want to think about which intents and entities should be included in your project.
 
 ## Training data
 Training data is the set of information that is needed to train a model.
 
 ## Utterance
 
-An utterance is user input that is short text representative of a sentence in a conversation. It is a natural language phrase such as "book 2 tickets to Seattle next Tuesday". Example utterances are added to train the model and the model predicts on new utterance at runtime
+An utterance is user input that is short text representative of a sentence in a conversation. It's a natural language phrase such as "book 2 tickets to Seattle next Tuesday". Example utterances are added to train the model and the model predicts on new utterance at runtime
 
 
 ## Next steps
 
@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.date: 12/19/2023
 ms.custom: language-service-question-answering
 ---
-# Migrate from QnA Maker to custom question qnswering 
+# Migrate from QnA Maker to custom question answering 
 
 **Purpose of this document:** This article aims to provide information that can be used to successfully migrate applications that use QnA Maker to custom question answering. Using this article, we hope customers will gain clarity on the following: 
 
@@ -28,7 +28,7 @@ ms.custom: language-service-question-answering
 >  - Automatic RBAC to Language project (not resource)
 >  - Automatic enabling of analytics.
 
-You will also need to [re-enable analytics](analytics.md) for the language resource.
+You'll also need to [re-enable analytics](analytics.md) for the language resource.
 
 ## Comparison of features
 
@@ -42,7 +42,7 @@ In addition to a new set of features, custom question answering provides many te
 |Smart URL Refresh|➖|✔️|Custom question answering provides a means to refresh ingested content from public sources with a single click.|
 |Q&A over knowledge base (hierarchical extraction)|✔️|✔️| |
 |Active learning|✔️|✔️|Custom question answering has an improved active learning model.|
-|Alternate Questions|✔️|✔️|The improved models in custom question answering reduces the need to add alternate questions.|
+|Alternate Questions|✔️|✔️|The improved models in custom question answering reduce the need to add alternate questions.|
 |Synonyms|✔️|✔️| |
 |Metadata|✔️|✔️| |
 |Question Generation (private preview)|➖|✔️|This new feature will allow generation of questions over text.|
@@ -54,7 +54,7 @@ In addition to a new set of features, custom question answering provides many te
 
 ## Pricing
 
-When you are looking at migrating to custom question answering, please consider the following:
+When you're looking at migrating to custom question answering, please consider the following:
 
 |Component                      |QnA Maker|Custom question answering|Details                                                                                                  |
 |-------------------------------|---------|------------------|---------------------------------------------------------------------------------------------------------|
@@ -65,7 +65,7 @@ When you are looking at migrating to custom question answering, please consider
 
 - Users may select a higher tier with higher capacity, which will impact overall price they pay. It doesn’t impact the price on language component of custom question answering.
 
-- “Text Records” in custom question answering features refers to the query submitted by the user to the runtime, and it is a concept common to all features within Language service. Sometimes a query may have more text records when the query length is higher. 
+- “Text Records” in custom question answering features refers to the query submitted by the user to the runtime, and it's a concept common to all features within Language service. Sometimes a query may have more text records when the query length is higher. 
 
 **Example price estimations**
 
@@ -76,7 +76,7 @@ When you are looking at migrating to custom question answering, please consider
 |Medium|10                              |10(S1)                                    |800K                                |4x3(S1)                                  |Less expensive                     |
 |Low   |4                               |4(B1)                                     |100K                                |3x3(S1)                                  |Less expensive                     |
 
- Summary : Customers should save cost across the most common configurations as seen in the relative cost column.
+ Summary: Customers should save cost across the most common configurations as seen in the relative cost column.
 
 Here you can find the pricing details for [custom question answering](https://azure.microsoft.com/pricing/details/cognitive-services/language-service/) and [QnA Maker](https://azure.microsoft.com/pricing/details/cognitive-services/qna-maker/).
 
@@ -101,7 +101,7 @@ Following are the broad migration phases to consider:
 
 ![A chart showing the phases of a successful migration](../media/migrate-qnamaker-to-question-answering/migration-phases.png)
 
-Additional links which can help you are given below:
+Additional links which can help you're given below:
 - [Authoring portal](https://language.cognitive.azure.com/home)
 - [API](authoring.md)
 - [SDK](/dotnet/api/microsoft.azure.cognitiveservices.knowledge.qnamaker)
@@ -115,7 +115,7 @@ This topic compares two hypothetical scenarios when migrating from QnA Maker to
 > An attempt has been made to ensure these scenarios are representative of real customer migrations, however, individual customer scenarios will of course differ. Also, this article doesn't include pricing details. Visit the [pricing](https://azure.microsoft.com/pricing/details/cognitive-services/language-service/) page for more information.
 
 > [!IMPORTANT] 
-> Each custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) are not migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration. You will also need to [re-enable analytics](analytics.md) for the language resource.
+> Each custom question answering project is equivalent to a knowledge base in QnA Maker. Resource level settings such as Role-based access control (RBAC) are not migrated to the new resource. These resource level settings would have to be reconfigured for the language resource post migration. You'll also need to [re-enable analytics](analytics.md) for the language resource.
 
 ### Migration scenario 1: No custom authoring portal