Merge branch 'master' of https://github.com/MicrosoftDocs/azure-docs-pr into ds-prcleanup1

Author: davidsmatlak

articles/active-directory/app-provisioning/check-status-user-account-provisioning.md

@@ -19,7 +19,7 @@ ms.collection: M365-identity-device-management
 
 # Tutorial: Reporting on automatic user account provisioning
 
-Azure Active Directory (Azure AD) includes a [user account provisioning service](user-provisioning.md) that helps automate the provisioning de-provisioning of user accounts in SaaS apps and other systems, for the purpose of end-to-end identity lifecycle management. Azure AD supports pre-integrated user provisioning connectors for all of the applications and systems in the "Featured" section of the [Azure AD application gallery](https://azuremarketplace.microsoft.com/marketplace/apps/category/azure-active-directory-apps?page=1&subcategories=featured).
+Azure Active Directory (Azure AD) includes a [user account provisioning service](user-provisioning.md) that helps automate the provisioning de-provisioning of user accounts in SaaS apps and other systems, for the purpose of end-to-end identity lifecycle management. Azure AD supports pre-integrated user provisioning connectors for all of the applications and systems with user provisioning tutorials [here](https://docs.microsoft.com/azure/active-directory/saas-apps/tutorial-list).
 
 This article describes how to check the status of provisioning jobs after they have been set up, and how to troubleshoot the provisioning of individual users and groups.
 

articles/cognitive-services/LUIS/includes/howto-publish.md

@@ -15,15 +15,16 @@ ms.author: diberry
 
 In order to receive a LUIS prediction in a chat bot or other client application, you need to publish the app to the endpoint.
 
-1. Select **Publish** in the top right navigation.
+1. Select **Publish** in the top-right navigation.
 
     ![LUIS publish to endpoint button in top right menu](../media/howto-publish/publish-button.png)
 
-2. Select the **Production** slot and the **Publish** button.
+2. Select the **Production** slot, then select **Done**.
 
-    ![LUIS publish to endpoint](../media/howto-publish/publish-app-popup.png)
+    > [!div class="mx-imgBorder"]
+    > ![LUIS publish to endpoint](../media/howto-publish/publish-app-popup.png)
 
-3. Publishing is complete when you see the status bar at the top of the page confirming success.
+3. Publishing is complete when you see the notification confirming success.
 
     ![LUIS publish to endpoint](../media/howto-publish/publish-endpoint-success.png)
 

articles/cognitive-services/LUIS/includes/select-authoring-resource.md

@@ -1,17 +1,12 @@
 ---
 title: Select authoring resource
-titleSuffix: Azure Cognitive Services
-services: cognitive-services
-author: diberry
-manager: nitinme
-ms.service: cognitive-services
-ms.topic: include 
-ms.date: 11/04/2019
-ms.author: diberry
+ms.topic: include
+ms.date: 03/25/2020
 ---
 
 ## Select subscription and authoring resource
 
-In the LUIS portal, to see a list of apps or to create an app, select the subscription and authoring resource. Apps are accessed by the LUIS authoring resource. 
+In the LUIS portal, to see a list of apps or to create an app, select the subscription and authoring resource. Apps are accessed by the LUIS authoring resource.
 
-![Select authoring subscription and authoring resource](../media/select-authoring-resource/select-authoring-resource.png)
+> [!div class="mx-imgBorder"]
+> ![Select authoring subscription and authoring resource](../media/select-authoring-resource/select-authoring-resource.png)

articles/cognitive-services/LUIS/includes/v3-prediction-endpoint.md

@@ -5,17 +5,17 @@ services: cognitive-services
 author: diberry
 manager: nitinme
 ms.service: cognitive-services
-ms.topic: include 
+ms.topic: include
 ms.date: 10/14/2019
 ms.author: diberry
 ---
 
 
-1. In the LUIS portal, in the Manage section (top right menu), on the Keys and endpoints page (left menu), select the endpoint URL at the bottom of the page.
+1. In the LUIS portal, in the **Manage** section (top right menu), on the **Azure Resources** page (left menu), on the **Prediction Resources** tab, copy the **example Query** at the bottom of the page.
 
-    This action opens browser tab with the endpoint URL in the address bar.
+    Paste the URL into a new browser tab.
 
     The URL has your app ID, key, and slot name. The V3 prediction endpoint URL looks like:
 
-    `https://REGION.api.cognitive.microsoft.com/luis/prediction/v3.0/apps/APP-ID/slots/SLOT-NAME/predict?subscription-key=YOUR-KEY&<optional-name-value-pairs>&query=UTTERANCE-TEXT.`
+    `https://REGION.api.cognitive.microsoft.com/luis/prediction/v3.0/apps/APP-ID/slots/SLOT-NAME/predict?subscription-key=YOUR-KEY&<optional-name-value-pairs>&query=YOUR_QUERY_HERE`
 

articles/cognitive-services/LUIS/luis-get-started-create-app.md

@@ -1,16 +1,8 @@
 ---
 title: "Quickstart: create app - LUIS"
-titleSuffix: Azure Cognitive Services
 description:  This quickstart shows how to create a LUIS app that uses the prebuilt domain `HomeAutomation` for turning lights and appliances on and off. This prebuilt domain provides intents, entities, and example utterances for you. When you're finished, you'll have a LUIS endpoint running in the cloud.
-services: cognitive-services
-author: diberry
-ms.custom: seodec18
-manager: nitinme
-ms.service: cognitive-services
-ms.subservice: language-understanding
 ms.topic: quickstart
-ms.date: 12/17/2019
-ms.author: diberry
+ms.date: 03/24/2020
 #Customer intent: As a new user, I want to quickly get a LUIS app created so I can understand the model and actions to train, test, publish, and query.
 ---
 
@@ -25,11 +17,11 @@ In this quickstart, create a LUIS app that uses the prebuilt domain `HomeAutomat
 ## Create a new app
 You can create and manage your applications on **My Apps**.
 
-1. In the LUIS portal, on the My apps list, select **+ Create**.
+1. On the My apps list, select **+ New app for conversation**.
 
-    ![In the LUIS portal, on the My apps list, select '+ Create.](./media/create-app-in-portal.png)
+1. In the dialog box, name your application `Home Automation`. Select **English** as the culture. The description is optional and isn't used for authoring or prediction. The prediction resource is also optional when creating a LUIS app. Select **Done**.
 
-1. In the dialog box, name your application `Home Automation` then select **Done**. LUIS creates the app. The description is optional and isn't used for authoring or prediction. The prediction resource is also optional when creating a LUIS app. When you publish your app to production, you should assign a prediction resource so your app can handle many requests.
+    LUIS creates the app. When you publish your app to production, you should assign a prediction resource so your app can handle many requests.
 
     ![In the dialog box, name your application `Home Automation`](./media/create-new-app-details.png)
 
@@ -62,23 +54,25 @@ Select the **HomeAutomation.TurnOff** intent. You can see that the intent contai
 [!INCLUDE [LUIS How to Train steps](includes/howto-train.md)]
 
 ## Test your app
-Once you've trained your app, you can test it. Select **Test**. Type a test utterance like `Turn off the lights` into the interactive test pane, and press Enter.
+Once you've trained your app, you can test it.
 
-```
-Turn off the lights
-```
+1. Select **Test** from the top-right navigation. 1. Type a test utterance like `Turn off the lights` into the interactive test pane, and press Enter.
 
-Check that the top scoring intent corresponds to the intent you expected for each test utterance.
+    ```
+    Turn off the lights
+    ```
+
+    Check that the top scoring intent corresponds to the intent you expected for each test utterance.
 
-In this example, `Turn off the lights` is correctly identified as the top scoring intent of **HomeAutomation.TurnOff**.
+    In this example, `Turn off the lights` is correctly identified as the top scoring intent of **HomeAutomation.TurnOff**.
 
-![Screenshot of Test panel with utterance highlighted](media/luis-quickstart-new-app/review-test-inspection-pane-in-portal.png)
+    ![Screenshot of Test panel with utterance highlighted](media/luis-quickstart-new-app/review-test-inspection-pane-in-portal.png)
 
-Select **Inspect** to review more information about the prediction.
+1. Select **Inspect** to review more information about the prediction.
 
-![Screenshot of Test panel with inspection information](media/luis-quickstart-new-app/test.png)
+    ![Screenshot of Test panel with inspection information](media/luis-quickstart-new-app/test.png)
 
-Select **Test** again to collapse the test pane.
+1. Close the test pane.
 
 <a name="publish-your-app"></a>
 
@@ -92,14 +86,14 @@ Select **Test** again to collapse the test pane.
 
 [!INCLUDE [LUIS How to get endpoint first step](./includes/v3-prediction-endpoint.md)]
 
-1. In the browser address bar, for the query string, make sure the following name and value bars are in the URL. If they are not in the query string, add them:
+2. In the browser address bar, for the query string, make sure the following name and value bars are in the URL. If they are not in the query string, add them:
 
     |Name/value pair|
     |--|
     |`verbose=true`|
     |`show-all-intents=true`|
 
-1. In the browser address bar, go to the end of the URL and enter `turn off the living room light` for the _query_ value, then press Enter.
+3. In the browser address bar, go to the end of the URL and enter `turn off the living room light` for the _query_ value, then press Enter.
 
     ```json
     {

articles/cognitive-services/LUIS/media/howto-publish/publish-app-popup.png

@@ -25,7 +25,7 @@ The following data platform tools are supported on the DSVM.
 | | |
 | ------------- | ------------- |
 | What is it?   | A local relational database instance      |
-| Supported DSVM editions      | Windows: SQL Server 2017, Windows 2019 (Preview) : SQL Server 2019      |
+| Supported DSVM editions      | Windows 2016: SQL Server 2017, Windows 2019: SQL Server 2019      |
 | Typical uses      | Rapid development locally with smaller dataset <br/> Run In-database R   |
 | Links to samples      |    A small sample of a New York City dataset is loaded into the SQL database:<br/>  `nyctaxi` <br/> Jupyter sample showing Microsoft Machine Learning Server and in-database analytics can be found at:<br/> `~notebooks/SQL_R_Services_End_to_End_Tutorial.ipynb`  |
 | Related tools on the DSVM       | SQL Server Management Studio <br/> ODBC/JDBC drivers<br/> pyodbc, RODBC<br />Apache Drill      |

articles/cognitive-services/LUIS/media/select-authoring-resource/select-authoring-resource.png

@@ -104,7 +104,7 @@ There are several other machine-learning libraries on DSVMs, such as the popular
 |    |           |
 | ------------- | ------------- |
 | What is it?   | Open-source SQL query engine on big data    |
-| Supported DSVM versions      | Windows 2019 (Preview), Linux  |
+| Supported DSVM versions      | Windows 2019, Linux  |
 | How is it configured and installed on the DSVM?      |  Installed in `/dsvm/tools/drill*` in embedded mode only   |
 | Typical uses      |  For in-place data exploration without requiring extract, transform, load (ETL). Query different data sources and formats, including CSV, JSON, relational tables, and Hadoop.     |
 | How to use and run it      | Desktop shortcut  <br/> [Get started with Drill in 10 minutes](https://drill.apache.org/docs/drill-in-10-minutes/)  |

articles/machine-learning/data-science-virtual-machine/dsvm-tools-data-platforms.md

@@ -22,7 +22,7 @@ The Data Science Virtual Machine (DSVM) bundles several popular tools in a highl
 |    |           |
 | ------------- | ------------- |
 | What is it?   | General purpose IDE      |
-| Supported DSVM versions      | Windows: Visual Studio 2017, Windows 2019 (Preview) : Visual Studio 2019      |
+| Supported DSVM versions      | Windows: Visual Studio 2017, Windows 2019 : Visual Studio 2019      |
 | Typical uses      | Software development    |
 | How is it configured and installed on the DSVM?      | Data Science Workload (Python and R tools), Azure workload (Hadoop, Data Lake), Node.js, SQL Server tools, [Azure Machine Learning for Visual Studio Code](https://github.com/Microsoft/vs-tools-for-ai)    |
 | How to use and run it      | Desktop shortcut (`C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\devenv.exe`). Graphically, open Visual Studio by using the desktop icon or the **Start** menu. Search for programs (Windows logo key+S), followed by **Visual Studio**. From there, you can create projects in languages like C#, Python, R, and Node.js.   |
@@ -77,7 +77,7 @@ The Data Science Virtual Machine (DSVM) bundles several popular tools in a highl
 |    |           |
 | ------------- | ------------- |
 | What is it?   | Client IDE for Python language    |
-| Supported DSVM versions      | Windows 2019 (Preview), Linux      |
+| Supported DSVM versions      | Windows 2019, Linux      |
 | Typical uses      |  Python development     |
 | How to use and run it      | Desktop shortcut (`C:\Program Files\tk`) on Windows. Desktop shortcut (`/usr/bin/pycharm`) on Linux      |
 | Related tools on the DSVM      |   Visual Studio, Visual Studio Code, RStudio      |