Merge branch 'master' of https://github.com/MicrosoftDocs/azure-docs-pr into fSD

Author: roygara

articles/active-directory/app-provisioning/use-scim-to-provision-users-and-groups.md

@@ -1224,10 +1224,6 @@ To help drive awareness and demand of our joint integration, we recommend you up
 ) 
 * **Customer communication.** Alert customers of the new integration through your customer communication (monthly newsletters, email campaigns, product release notes). 
 
-### Allow IP addresses used by the Azure AD provisioning service to make SCIM requests
-
-Certain apps allow inbound traffic to their app. In order for the Azure AD provisioning service to function as expected, the IP addresses used must be allowed. For a list of IP addresses for each service tag/region, see the JSON file - [Azure IP Ranges and Service Tags – Public Cloud](https://www.microsoft.com/download/details.aspx?id=56519). You can download and program these IPs into your firewall as needed. The reserved IP ranges for Azure AD provisioning can be found under "AzureActiveDirectoryDomainServices."
-
 ## Related articles
 
 * [Automate user provisioning and deprovisioning to SaaS apps](user-provisioning.md)

articles/active-directory/develop/authentication-vs-authorization.md

@@ -1,5 +1,5 @@
 ---
-title: Authentication vs. authorization | Azure
+title: Authentication vs authorization | Azure
 titleSuffix: Microsoft identity platform
 description: Learn about the basics of authentication and authorization in Microsoft identity platform (v2.0).
 services: active-directory
@@ -10,14 +10,14 @@ ms.service: active-directory
 ms.subservice: develop
 ms.topic: conceptual
 ms.workload: identity
-ms.date: 05/18/2020
+ms.date: 05/22/2020
 ms.author: ryanwi
 ms.reviewer: jmprieur, saeeda, sureshja, hirsin
 ms.custom: aaddev, identityplatformtop40, scenarios:getting-started
 #Customer intent: As an application developer, I want to understand the basic concepts of authentication and authorization in Microsoft identity platform
 ---
 
-# Authentication vs. authorization
+# Authentication vs authorization
 
 This article defines authentication and authorization and briefly covers how you can use the Microsoft identity platform to authenticate and authorize users in your web apps, web APIs, or apps calling protected web APIs. If you see a term you aren't familiar with, try our [glossary](developer-glossary.md) or our [Microsoft identity platform videos](identity-videos.md) which cover basic concepts.
 
@@ -39,9 +39,9 @@ Microsoft identity platform simplifies authorization and authentication for appl
 
 Following is a brief comparison of the various protocols used by Microsoft identity platform:
 
-* **OAuth vs. OpenID Connect**: OAuth is used for authorization and OpenID Connect (OIDC) is used for authentication. OpenID Connect is built on top of OAuth 2.0, so the terminology and flow are similar between the two. You can even both authenticate a user (using OpenID Connect) and get authorization to access a protected resource that the user owns (using OAuth 2.0) in one request. For more information, see [OAuth 2.0 and OpenID Connect protocols](active-directory-v2-protocols.md) and [OpenID Connect protocol](v2-protocols-oidc.md).
-* **OAuth vs. SAML**: OAuth is used for authorization and SAML is used for authentication. See [Microsoft identity platform and OAuth 2.0 SAML bearer assertion flow](v2-saml-bearer-assertion.md) for more information on how the two protocols can be used together to both authenticate a user (using SAML) and get authorization to access a protected resource (using OAuth 2.0).
-* **OpenID Connect vs. SAML**: Both OpenID Connect and SAML are used to authenticate a user and are used to enable Single Sign On. SAML authentication is commonly used with identity providers such as Active Directory Federation Services (ADFS) federated to Azure AD and is therefore frequently used in enterprise applications. OpenID Connect is commonly used for apps that are purely in the cloud, such as mobile apps, web sites, and web APIs.
+* **OAuth vs OpenID Connect**: OAuth is used for authorization and OpenID Connect (OIDC) is used for authentication. OpenID Connect is built on top of OAuth 2.0, so the terminology and flow are similar between the two. You can even both authenticate a user (using OpenID Connect) and get authorization to access a protected resource that the user owns (using OAuth 2.0) in one request. For more information, see [OAuth 2.0 and OpenID Connect protocols](active-directory-v2-protocols.md) and [OpenID Connect protocol](v2-protocols-oidc.md).
+* **OAuth vs SAML**: OAuth is used for authorization and SAML is used for authentication. See [Microsoft identity platform and OAuth 2.0 SAML bearer assertion flow](v2-saml-bearer-assertion.md) for more information on how the two protocols can be used together to both authenticate a user (using SAML) and get authorization to access a protected resource (using OAuth 2.0).
+* **OpenID Connect vs SAML**: Both OpenID Connect and SAML are used to authenticate a user and are used to enable Single Sign On. SAML authentication is commonly used with identity providers such as Active Directory Federation Services (ADFS) federated to Azure AD and is therefore frequently used in enterprise applications. OpenID Connect is commonly used for apps that are purely in the cloud, such as mobile apps, web sites, and web APIs.
 
 ## Next steps
 

articles/cognitive-services/LUIS/includes/sign-in-process.md

@@ -16,7 +16,7 @@ ms.author: diberry
 
 A new user to LUIS needs to follow this procedure:
 
-1. Sign in to [LUIS portal](https://www.luis.ai), select your country/region and agree to the terms of use. If you see **My Apps** instead, a LUIS resource already exists and you should skip ahead to create an app.
+1. Sign in to [LUIS portal](https://www.luis.ai), select your country/region and agree to the terms of use. If you see **My Apps** instead, a LUIS resource already exists and you should skip ahead to create an app. For supported regions, visit [authoring and publishing regions and the associated keys](https://docs.microsoft.com/azure/cognitive-services/luis/luis-reference-regions).
 
 1. Select **Create Azure resource** then select **Create an authoring resource to migrate your apps to.**
 
@@ -41,4 +41,4 @@ A new user to LUIS needs to follow this procedure:
 
 1. Confirm by selecting **Continue**.
 
-    ![Create authoring resource](../media/sign-in/sign-in-confirm-continue.png)
+    ![Create authoring resource](../media/sign-in/sign-in-confirm-continue.png)

articles/cost-management-billing/manage/change-credit-card.md

@@ -23,9 +23,9 @@ If you have a Microsoft Customer Agreement, your payment methods are associated
 
 ## Manage credit cards for an Azure subscription
 
-The following sections apply to customers who have a Microsoft Online Services Program billing account. Learn how to [check your billing account type](#check-the-type-of-your-account). If your billing account type is Microsoft Online Services Program, payment methods are associated with individual Azure subscriptions.
+The following sections apply to customers who have a Microsoft Online Services Program billing account. Learn how to [check your billing account type](#check-the-type-of-your-account). If your billing account type is Microsoft Online Services Program, payment methods are associated with individual Azure subscriptions. If you get an error after you add the credit card, see [Credit card declined at Azure sign-up](../../billing/billing-credit-card-fails-during-azure-sign-up.md).
 
-### Change credit card for a subscription
+### Change credit card for a subscription by adding a new credit card
 
 You can change the default credit of your Azure subscription to a new credit card or previously saved credit card in the Azure portal. You must be the Account Administrator to change the credit card. If more than one of your subscriptions have the same active payment method, then changing the active payment method on any of these subscriptions also updates the active payment method on the others.
 
@@ -51,7 +51,7 @@ You can change your subscription's default credit card to a new one by following
 
 1. Select **Next**.
 
-If you get an error after you add the credit card, see [Credit card declined at Azure sign-up](../../billing/billing-credit-card-fails-during-azure-sign-up.md).
+### Change credit card for a subscription to a previously saved credit card
 
 You can also change your subscription's default credit card to a one that is already saved to your account by following these steps:
 
@@ -110,6 +110,7 @@ If your credit card is the active payment method for any of your Microsoft subsc
 The following sections apply to customers who have a Microsoft Customer Agreement and signed up for Azure online with a credit card. [Learn how to check if you have a Microsoft Customer Agreement](#check-the-type-of-your-account).
 
 ### Change default credit card
+
 If you have a Microsoft Customer Agreement, your credit card is associated with a billing profile. To change the payment method for a billing profile, you must be the person who signed up for Azure and created the billing account.
 
 If you'd like to change your billing profile's default payment method to check/wire transfer, see [Pay for Azure subscriptions by invoice](pay-by-invoice.md).
@@ -153,9 +154,11 @@ To edit or delete a credit card, follow these steps:
 1. To delete your credit card, select **Delete** from the context menu.
 
 ## Troubleshooting
+
 We do not support virtual or prepaid cards. If you are getting errors when adding or updating a valid credit card, try opening your browser in private mode.
 
 ## Frequently asked questions
+
 The following sections answer commonly asked questions about changing your credit card information.
 
 ### My subscription is disabled. Why can't I remove my credit card now?
@@ -183,11 +186,13 @@ If you're [paying by invoice](pay-by-invoice.md), send your payment to the locat
 To add or update tax ID, update your profile in the  [Azure Account Center](https://account.azure.com/Profile), then select **Tax record**. This tax ID is used for tax exemption calculations and appears on your invoice.
 
 ## Check the type of your account
+
 [!INCLUDE [billing-check-mca](../../../includes/billing-check-account-type.md)]
 
 ## Need help? Contact us.
 
 If you have questions or need help,  [create a support request](https://go.microsoft.com/fwlink/?linkid=2083458).
 
 ## Next steps
+
 - Learn about [Azure reservations](../reservations/save-compute-costs-reservations.md) to see if they can save you money.

articles/data-factory/author-visually.md

@@ -26,7 +26,7 @@ To open the **authoring canvas**, click on the pencil icon.
 
 ![Authoring Canvas](media/author-visually/authoring-canvas.png)
 
-Here, you will author the pipelines, activities, datasets, linked services, data flows, triggers, and integration runtimes that comprise your factory. To get started building a pipeline using the authoring canvas, see [Copy data using the copy Activity](tutorial-copy-data-portal.md). 
+Here, you author the pipelines, activities, datasets, linked services, data flows, triggers, and integration runtimes that comprise your factory. To get started building a pipeline using the authoring canvas, see [Copy data using the copy Activity](tutorial-copy-data-portal.md). 
 
 The default visual authoring experience is directly working with the Data Factory service. Azure Repos Git or GitHub integration is also supported to allow source control and collaboration for work on your data factory pipelines. To learn more about the differences between these authoring experiences, see [Source control in Azure Data Factory](source-control.md).
 
@@ -36,7 +36,7 @@ For top-level resources such as pipelines, datasets, and data flows, high-level
 
 ![Authoring Canvas](media/author-visually/properties-pane.png)
 
-The properties pane will only be open by default on resource creation. To edit it, click on the properties pane icon located in the top-right corner of the canvas.
+The properties pane only opens by default on resource creation. To edit it, click on the properties pane icon located in the top-right corner of the canvas.
 
 ## Expressions and functions
 

articles/data-factory/concepts-data-flow-monitoring.md

@@ -14,17 +14,17 @@ ms.date: 04/17/2020
 
 [!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
 
-After you have completed building and debugging your data flow, you will want to schedule your data flow to execute on a schedule within the context of a pipeline. You can schedule the pipeline from Azure Data Factory using Triggers. Or you can use the Trigger Now option from the Azure Data Factory Pipeline Builder to execute a single-run execution to test your data flow within the pipeline context.
+After you have completed building and debugging your data flow, you want to schedule your data flow to execute on a schedule within the context of a pipeline. You can schedule the pipeline from Azure Data Factory using Triggers. Or you can use the Trigger Now option from the Azure Data Factory Pipeline Builder to execute a single-run execution to test your data flow within the pipeline context.
 
-When you execute your pipeline, you will be able to monitor the pipeline and all of the activities contained in the pipeline including the Data Flow activity. Click on the monitor icon in the left-hand Azure Data Factory UI panel. You will see a screen similar to the one below. The highlighted icons will allow you to drill into the activities in the pipeline, including the Data Flow activity.
+When you execute your pipeline, you can monitor the pipeline and all of the activities contained in the pipeline including the Data Flow activity. Click on the monitor icon in the left-hand Azure Data Factory UI panel. You can see a screen similar to the one below. The highlighted icons allow you to drill into the activities in the pipeline, including the Data Flow activity.
 
 ![Data Flow Monitoring](media/data-flow/mon001.png "Data Flow Monitoring")
 
-You will see statistics at this level as well including the run times and status. The Run ID at the activity level is different that the Run ID at the pipeline level. The Run ID at the previous level is for the pipeline. Clicking the eyeglasses will give you deep details on your data flow execution.
+You see statistics at this level as well including the run times and status. The Run ID at the activity level is different than the Run ID at the pipeline level. The Run ID at the previous level is for the pipeline. Selecting the eyeglasses gives you deep details on your data flow execution.
 
 ![Data Flow Monitoring](media/data-flow/mon002.png "Data Flow Monitoring")
 
-When you are in the graphical node monitoring view, you will see a simplified view-only version of your data flow graph.
+When you're in the graphical node monitoring view, you can see a simplified view-only version of your data flow graph.
 
 ![Data Flow Monitoring](media/data-flow/mon003.png "Data Flow Monitoring")
 
@@ -34,18 +34,18 @@ Here is a video overview of monitoring performance of your data flows from the A
 
 ## View Data Flow Execution Plans
 
-When your Data Flow is executed in Spark, Azure Data Factory determines optimal code paths based on the entirety of your data flow. Additionally, the execution paths may occur on different scale-out nodes and data partitions. Therefore, the monitoring graph represents the design of your flow, taking into account the execution path of your transformations. When you click on individual nodes, you will see "groupings" that represent code that was executed together on the cluster. The timings and counts that you see represent those groups as opposed to the individual steps in your design.
+When your Data Flow is executed in Spark, Azure Data Factory determines optimal code paths based on the entirety of your data flow. Additionally, the execution paths may occur on different scale-out nodes and data partitions. Therefore, the monitoring graph represents the design of your flow, taking into account the execution path of your transformations. When you select individual nodes, you can see "groupings" that represent code that was executed together on the cluster. The timings and counts that you see represent those groups as opposed to the individual steps in your design.
 
 ![Data Flow Monitoring](media/data-flow/mon004.png "Data Flow Monitoring")
 
-* When you click on the open space in the monitoring window, the stats in the bottom pane will display timing and row counts for each Sink and the transformations that led to the sink data for transformation lineage.
+* When you select the open space in the monitoring window, the stats in the bottom pane display timing and row counts for each Sink and the transformations that led to the sink data for transformation lineage.
 
-* When you select individual transformations, you will receive additional feedback on the right-hand panel that shows partition stats, column counts, skewness (how evenly is the data distributed across partitions), and kurtosis (how spiky is the data).
+* When you select individual transformations, you receive additional feedback on the right-hand panel that shows partition stats, column counts, skewness (how evenly is the data distributed across partitions), and kurtosis (how spiky is the data).
 
-* When you click on the Sink in the node view, you will see column lineage. There are three different methods that columns are accumulated throughout your data flow to land in the Sink. They are:
+* When you select the Sink in the node view, you can see column lineage. There are three different methods that columns are accumulated throughout your data flow to land in the Sink. They are:
 
-  * Computed: You use the column for conditional processing or within an expression in your data flow, but do not land it in the Sink
-  * Derived: The column is a new column that you generated in your flow, i.e. it was not present in the Source
+  * Computed: You use the column for conditional processing or within an expression in your data flow, but don't land it in the Sink
+  * Derived: The column is a new column that you generated in your flow, that is, it was not present in the Source
   * Mapped: The column originated from the source and your are mapping it to a sink field
   * Data flow status: The current status of your execution
   * Cluster startup time: Amount of time to acquire the JIT Spark compute environment for your data flow execution
@@ -59,4 +59,4 @@ This icon means that the transformation data was already cached on the cluster,
 
 ![Data Flow Monitoring](media/data-flow/mon004.png "Data Flow Monitoring")
 
-You will also see green circle icons in the transformation. They represent a count of the number of sinks that data is flowing into.
+You also see green circle icons in the transformation. They represent a count of the number of sinks that data is flowing into.