Merge pull request #113658 from craigcaseyMSFT/vcraic0430

PRMerger14 · web-flow · commit 596b3fe79249 · 2020-05-01T20:33:43.000-07:00
fix broken links from OPS report
diff --git a/articles/cognitive-services/Custom-Vision-Service/iot-visual-alerts-tutorial.md b/articles/cognitive-services/Custom-Vision-Service/iot-visual-alerts-tutorial.md
@@ -58,7 +58,7 @@ The following files handle the main functionality of the app.
 | [MainPage.xaml.cs](https://github.com/Azure-Samples/Cognitive-Services-Vision-Solution-Templates/blob/master/IoTVisualAlerts/MainPage.xaml.cs) | This code controls the behavior of the XAML UI. It contains the state machine processing code.|
 | [CustomVision\CustomVisionServiceWrapper.cs](https://github.com/Azure-Samples/Cognitive-Services-Vision-Solution-Templates/blob/master/IoTVisualAlerts/CustomVision/CustomVisionServiceWrapper.cs) | This class is a wrapper that handles integration with the Custom Vision Service.|
 | [CustomVision\CustomVisionONNXModel.cs](https://github.com/Azure-Samples/Cognitive-Services-Vision-Solution-Templates/blob/master/IoTVisualAlerts/CustomVision/CustomVisionONNXModel.cs) | This class is a wrapper that handles integration with Windows ML for loading the ONNX model and scoring images against it.|
-| [IoTHub\IotHubWrapper.cs](https://github.com/Azure-Samples/Cognitive-Services-Vision-Solution-Templates/blob/master/IoTVisualAlerts/IoTHub/IotHubWrapper.cs) | This class is a wrapper that handles integration with IoT Hub for uploading scoring results to Azure.|
+| [IoTHub\IotHubWrapper.cs](https://github.com/Azure-Samples/Cognitive-Services-Vision-Solution-Templates/blob/master/IoTVisualAlerts/IoTHub/IoTHubWrapper.cs) | This class is a wrapper that handles integration with IoT Hub for uploading scoring results to Azure.|
 
 ## Set up the Visual Alerts app
 
@@ -86,7 +86,7 @@ When you run the app for the first time, it won't have any knowledge of visual s
 
 To set up a model, you need to put the app in the **Capturing Training Images** state. Take one of the following steps:
 * If you're running the app on PC, use the button on the top-right corner of the UI.
-* If you're running the app on an IoT device, call the `EnterLearningMode` method on the device through the IoT Hub. You can call it through the device entry in the IoT Hub menu on the Azure portal, or with a tool such as [IoT Hub Device Explorer](https://github.com/Azure/azure-iot-sdk-csharp/tree/master/tools/DeviceExplorer).
+* If you're running the app on an IoT device, call the `EnterLearningMode` method on the device through the IoT Hub. You can call it through the device entry in the IoT Hub menu on the Azure portal, or with a tool such as [IoT Hub Device Explorer](https://github.com/Azure/azure-iot-sdk-csharp).
  
 When the app enters the **Capturing Training Images** state, it will capture about two images every second until it has reached the target number of images. By default, the target is 30 images, but you can set this parameter by passing the desired number as an argument to the `EnterLearningMode` IoT Hub method. 
 
diff --git a/articles/cognitive-services/Speech-Service/how-to-use-conversation-transcription.md b/articles/cognitive-services/Speech-Service/how-to-use-conversation-transcription.md
@@ -27,8 +27,8 @@ The Speech SDK's **ConversationTranscriber** API allows you to transcribe meetin
 
 The Speech Device SDK provides sample code in Java for real-time audio capture using 8 channels.
 
-- [ROOBO device sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Android/Speech%20Devices%20SDK%20Starter%20App/example/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdsdkstarterapp/ConversationTranscription.java)
-- [Azure Kinect Dev Kit sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Windows_Linux/SampleDemo/src/com/microsoft/cognitiveservices/speech/samples/Cts.java)
+- [ROOBO device sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Java/Android/Speech%20Devices%20SDK%20Starter%20App/example/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdsdkstarterapp/ConversationTranscription.java)
+- [Azure Kinect Dev Kit sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Java/Windows_Linux/SampleDemo/src/com/microsoft/cognitiveservices/speech/samples/Cts.java)
 
 ## Prerequisites
 
diff --git a/articles/cognitive-services/Speech-Service/tutorial-voice-enable-your-bot-speech-sdk.md b/articles/cognitive-services/Speech-Service/tutorial-voice-enable-your-bot-speech-sdk.md
@@ -174,7 +174,7 @@ The [Bot Framework Emulator](https://github.com/microsoft/botframework-emulator)
 The next step is to deploy the Echo Bot to Azure. There are a few ways to deploy a bot, but in this tutorial we'll focus on publishing directly from Visual Studio.
 
 > [!NOTE]
-> Alternatively, you can deploy a bot using the [Azure CLI](https://docs.microsoft.com/azure/bot-service/bot-builder-deploy-az-cli) and [deployment templates](https://github.com/microsoft/BotBuilder-Samples/tree/master/experimental/directline-speech/csharp_dotnetcore/02.echo-bot/DeploymentTemplates).
+> Alternatively, you can deploy a bot using the [Azure CLI](https://docs.microsoft.com/azure/bot-service/bot-builder-deploy-az-cli) and [deployment templates](https://github.com/microsoft/BotBuilder-Samples/tree/master/experimental/adaptive-dialog/csharp_dotnetcore/04.core-bot/deploymentTemplates).
 
 1. From Visual Studio, open the Echo Bot that's been configured for use with Direct Line Speech channel:
 
diff --git a/articles/cognitive-services/Translator/ctf-reporting.md b/articles/cognitive-services/Translator/ctf-reporting.md
@@ -111,8 +111,8 @@ The result set contains array of the **UserTranslationCount**. Each UserTranslat
 > The quota will adjust to ensure fairness among all users of the service.
 
 **View code examples on GitHib**
-* [C#](https://github.com/MicrosoftTranslator/Documentation-Code-TextAPI/blob/master/ctf/ctf-getusertranslationcounts-example-csharp.md)
-* [PHP](https://github.com/MicrosoftTranslator/Documentation-Code-TextAPI/blob/master/ctf/ctf-getusertranslationcounts-example-php.md)
+* [C#](https://github.com/MicrosoftTranslator/CustomTranslator-API-CSharp)
+* [PHP](https://github.com/MicrosoftTranslator/Text-Translation-API-V3-PHP)
 
 ## GetUserTranslations method
 
@@ -184,5 +184,5 @@ The result set contains array of the **UserTranslation**. Each UserTranslation h
 > The quota will adjust to ensure fairness among all users of the service.
 
 **View code examples on GitHib**
-* [C#](https://github.com/MicrosoftTranslator/Documentation-Code-TextAPI/blob/master/ctf/ctf-getusertranslations-example-csharp.md)
-* [PHP](https://github.com/MicrosoftTranslator/Documentation-Code-TextAPI/blob/master/ctf/ctf-getusertranslations-example-php.md)
+* [C#](https://github.com/MicrosoftTranslator/CustomTranslator-API-CSharp)
+* [PHP](https://github.com/MicrosoftTranslator/Text-Translation-API-V3-PHP)
diff --git a/articles/cognitive-services/immersive-reader/tutorial-ios-picture-immersive-reader.md b/articles/cognitive-services/immersive-reader/tutorial-ios-picture-immersive-reader.md
@@ -19,7 +19,7 @@ The [Immersive Reader](https://www.onenote.com/learningtools) is an inclusively
 
 The [Computer Vision Cognitive Services Read API](https://docs.microsoft.com/azure/cognitive-services/computer-vision/concept-recognizing-text) detects text content in an image using Microsoft's latest recognition models and converts the identified text into a machine-readable character stream.
 
-In this tutorial, you will build an iOS app from scratch and integrate the Read API, and the Immersive Reader by using the Immersive Reader SDK. A full working sample of this tutorial is available [here](https://github.com/microsoft/immersive-reader-sdk/tree/master/iOS/samples/picture-to-immersive-reader-swift).
+In this tutorial, you will build an iOS app from scratch and integrate the Read API, and the Immersive Reader by using the Immersive Reader SDK. A full working sample of this tutorial is available [here](https://github.com/microsoft/immersive-reader-sdk/tree/master/js/samples/ios).
 
 If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
 
diff --git a/articles/container-registry/container-registry-faq.md b/articles/container-registry/container-registry-faq.md
@@ -489,10 +489,10 @@ We currently do not support GitLab for Source triggers.
 
 | Git service | Source context | Manual build | Auto build through commit trigger |
 |---|---|---|---|
-| GitHub | https://github.com/user/myapp-repo.git#mybranch:myfolder | Yes | Yes |
-| Azure Repos | https://dev.azure.com/user/myproject/_git/myapp-repo#mybranch:myfolder | Yes | Yes |
-| GitLab | https://gitlab.com/user/myapp-repo.git#mybranch:myfolder | Yes | No |
-| BitBucket | https://user@bitbucket.org/user/mayapp-repo.git#mybranch:myfolder | Yes | No |
+| GitHub | `https://github.com/user/myapp-repo.git#mybranch:myfolder` | Yes | Yes |
+| Azure Repos | `https://dev.azure.com/user/myproject/_git/myapp-repo#mybranch:myfolder` | Yes | Yes |
+| GitLab | `https://gitlab.com/user/myapp-repo.git#mybranch:myfolder` | Yes | No |
+| BitBucket | `https://user@bitbucket.org/user/mayapp-repo.git#mybranch:myfolder` | Yes | No |
 
 ## Run Error Message Troubleshooting
 
diff --git a/articles/container-service/dcos-swarm/container-service-dcos-vamp-canary-release.md b/articles/container-service/dcos-swarm/container-service-dcos-vamp-canary-release.md
@@ -124,7 +124,7 @@ Now that Vamp is up and running, deploy a service from a blueprint.
 
 In its simplest form, a [Vamp blueprint](https://docs.vamp.io/how-vamp-works/vamp-and-kubernetes#vamp-deployments) describes the endpoints (gateways), clusters, and services to deploy. Vamp uses clusters to group different variants of the same service into logical groups for canary releasing or A/B testing.  
 
-This scenario uses a sample monolithic application called [**sava**](https://github.com/magneticio/sava), which is at version 1.0. The monolith is packaged in a Docker container, which is in Docker Hub under magneticio/sava:1.0.0. The app normally runs on port 8080, but you want to expose it under port 9050 in this case. Deploy the app through Vamp using a simple blueprint.
+This scenario uses a sample monolithic application called [**sava**](https://github.com/magneticio/sava-product), which is at version 1.0. The monolith is packaged in a Docker container, which is in Docker Hub under magneticio/sava:1.0.0. The app normally runs on port 8080, but you want to expose it under port 9050 in this case. Deploy the app through Vamp using a simple blueprint.
 
 1. Go to **Deployments**.
 
diff --git a/articles/container-service/kubernetes/container-service-draft-up.md b/articles/container-service/kubernetes/container-service-draft-up.md
@@ -97,7 +97,7 @@ Now that you have a cluster, you can import the credentials by using the [az acs
 
 
 1. Download draft for your environment at https://github.com/Azure/draft/releases and install into your PATH so that the command can be used.
-2. Download helm for your environment at https://github.com/kubernetes/helm/releases and [install it into your PATH so that the command can be used](https://github.com/kubernetes/helm/blob/master/docs/install.md#installing-the-helm-client).
+2. Download helm for your environment at https://github.com/kubernetes/helm/releases and [install it into your PATH so that the command can be used](https://helm.sh/docs/intro/quickstart#install-helm).
 3. Configure Draft to use your registry and create subdomains for each Helm chart it creates. To configure Draft, you need:
    - your Azure Container Registry name (in this example, `draftacsdemo`)
    - your registry key, or password, from `az acr credential show -n <registry name> --output tsv --query "passwords[0].value"`.
diff --git a/articles/container-service/kubernetes/container-service-kubernetes-helm.md b/articles/container-service/kubernetes/container-service-kubernetes-helm.md
@@ -30,7 +30,7 @@ Helm has two components:
 
 * [Install and configure `kubectl`](../container-service-connect.md) on a local computer
 
-* [Install Helm](https://github.com/kubernetes/helm/blob/master/docs/install.md) on a local computer
+* [Install Helm](https://helm.sh/docs/intro/quickstart/) on a local computer
 
 ## Helm basics 
 
@@ -145,5 +145,5 @@ You can now use standard SQL commands to create databases, tables, etc. For exam
  
 ## Next steps
 
-* For more information about managing Kubernetes charts, see the [Helm documentation](https://github.com/kubernetes/helm/blob/master/docs/index.md). 
+* For more information about managing Kubernetes charts, see the [Helm documentation](https://helm.sh/docs/). 
 
diff --git a/articles/cosmos-db/create-cassandra-api-account-java.md b/articles/cosmos-db/create-cassandra-api-account-java.md
@@ -87,21 +87,21 @@ Use the following steps to build the sample from scratch:
  
 2. Locate the `cassandra-demo` folder. Using a text editor, open the `pom.xml` file that was generated. 
 
-   Add the Cassandra dependencies and build plugins required by your project, as shown in the [pom.xml](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/pom.xml) file.  
+   Add the Cassandra dependencies and build plugins required by your project, as shown in the [pom.xml](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/pom.xml) file.  
 
 3. Under the `cassandra-demo\src\main` folder, create a new folder named `resources`.  Under the resources folder, add the config.properties and log4j.properties files:
 
-   - The [config.properties](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/src/main/resources/config.properties) file stores the connection endpoint and key values of the Cassandra API account. 
+   - The [config.properties](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/src/main/resources/config.properties) file stores the connection endpoint and key values of the Cassandra API account. 
    
-   - The [log4j.properties](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/src/main/resources/log4j.properties) file defines the level of logging required for interacting with the Cassandra API.  
+   - The [log4j.properties](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/src/main/resources/log4j.properties) file defines the level of logging required for interacting with the Cassandra API.  
 
 4. Browse to the `src/main/java/com/azure/cosmosdb/cassandra/` folder. Within the cassandra folder, create another folder named `utils`. The new folder stores the utility classes required to connect to the Cassandra API account. 
 
-   Add the [CassandraUtils](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/src/main/java/com/azure/cosmosdb/cassandra/util/CassandraUtils.java) class to create the cluster and to open and close Cassandra sessions. The cluster connects to the Cassandra API account in Azure Cosmos DB and returns a session to access. Use the [Configurations](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/src/main/java/com/azure/cosmosdb/cassandra/util/Configurations.java) class to read connection string information from the config.properties file. 
+   Add the [CassandraUtils](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/src/main/java/com/azure/cosmosdb/cassandra/util/CassandraUtils.java) class to create the cluster and to open and close Cassandra sessions. The cluster connects to the Cassandra API account in Azure Cosmos DB and returns a session to access. Use the [Configurations](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/src/main/java/com/azure/cosmosdb/cassandra/util/Configurations.java) class to read connection string information from the config.properties file. 
 
 5. The Java sample creates a database with user information such as user name, user ID, and user city. You need to define get and set methods to access user details in the main function.
  
-   Create a [User.java](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/java-examples/src/main/java/com/azure/cosmosdb/cassandra/User.java) class under the `src/main/java/com/azure/cosmosdb/cassandra/` folder with get and set methods. 
+   Create a [User.java](https://github.com/Azure-Samples/azure-cosmos-db-cassandra-java-getting-started/blob/master/src/main/java/com/azure/cosmosdb/cassandra/examples/UserProfile.java) class under the `src/main/java/com/azure/cosmosdb/cassandra/` folder with get and set methods. 
 
 ## Add a database and a table  
 
