Merge pull request #49880 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to master to sync with https://github.com/Microsoft/azure-docs (branch master)

Author: huypub

articles/cognitive-services/Computer-vision/QuickStarts/python-hand-text.md

@@ -86,15 +86,22 @@ operation_url = response.headers["Operation-Location"]
 
 # The recognized text isn't immediately available, so poll to wait for completion.
 analysis = {}
-while "recognitionResult" not in analysis:
+poll = True
+while (poll):
     response_final = requests.get(
         response.headers["Operation-Location"], headers=headers)
     analysis = response_final.json()
     time.sleep(1)
+    if ("recognitionResult" in analysis):
+        poll= False 
+    if ("status" in analysis and analysis['status'] == 'Failed'):
+        poll= False
 
-# Extract the recognized text, with bounding boxes.
-polygons = [(line["boundingBox"], line["text"])
-    for line in analysis["recognitionResult"]["lines"]]
+polygons=[]
+if ("recognitionResult" in analysis):
+    # Extract the recognized text, with bounding boxes.
+    polygons = [(line["boundingBox"], line["text"])
+        for line in analysis["recognitionResult"]["lines"]]
 
 # Display the image and overlay it with the extracted text.
 plt.figure(figsize=(15, 15))

articles/cognitive-services/Labs/Answer-Search/c-sharp-quickstart.md

@@ -49,7 +49,7 @@ namespace Answers_csharp
         // Replace the accessKey string value with your valid access key.
         const string accessKey = "YOUR-SUBSCRIPTION-KEY";
 
-        const string uriBase = "https://api.labs.cognitive.microsoft.com/answerSearch/v7.0/search "; 
+        const string uriBase = "https://api.labs.cognitive.microsoft.com/answerSearch/v7.0/search"; 
 
         const string searchTerm = "third law of calculus"; 
 

articles/cognitive-services/Translator/languages.md

@@ -181,8 +181,8 @@ The following languages can be detected by the Detect method. Detect may detect
 | Bulgarian |
 | Catalan |
 | Chinese |
-| Chinese_Simplified |
-| Chinese_Traditional |
+| Chinese (Simplified) |
+| Chinese (Traditional) |
 | Croatian |
 | Czech |
 | Danish |
@@ -195,7 +195,7 @@ The following languages can be detected by the Detect method. Detect may detect
 | Galician |
 | German |
 | Greek |
-| Haitian_Creole |
+| Haitian Creole |
 | Hebrew |
 | Hindi |
 | Hungarian |
@@ -205,24 +205,24 @@ The following languages can be detected by the Detect method. Detect may detect
 | Italian |
 | Japanese |
 | Korean |
-| Kurdish_Arabic |
-| Kurdish_Latin |
+| Kurdish (Arabic) |
+| Kurdish (Latin) |
 | Latin |
 | Latvian |
 | Lithuanian |
 | Macedonian |
 | Malay |
 | Maltese |
 | Norwegian |
-| Norwegian_Nynorsk |
+| Norwegian (Nynorsk) |
 | Pashto |
 | Persian |
 | Polish |
 | Portuguese |
 | Romanian |
 | Russian |
-| Serbian_Cyrillic |
-| Serbian_Latin |
+| Serbian (Cyrillic) |
+| Serbian (Latin) |
 | Slovak |
 | Slovenian |
 | Somali |
@@ -234,8 +234,8 @@ The following languages can be detected by the Detect method. Detect may detect
 | Turkish |
 | Ukrainian |
 | Urdu |
-| Uzbek_Cyrillic |
-| Uzbek_Latin |
+| Uzbek (Cyrillic) |
+| Uzbek (Latin) |
 | Vietnamese |
 | Welsh |
 | Yiddish |

articles/service-fabric/virtual-machine-scale-set-scale-node-type-scale-out.md

@@ -13,14 +13,16 @@ ms.devlang: dotnet
 ms.topic: article
 ms.tgt_pltfrm: NA
 ms.workload: NA
-ms.date: 05/21/2018
+ms.date: 08/21/2018
 ms.author: ryanwi
 
 ---
 # Scale a Service Fabric cluster out by adding a Virtual Machine Scale Set
 This article describes how to scale an Azure Service Fabric cluster by adding a new virtual machine scale set to an existing cluster. A Service Fabric cluster is a network-connected set of virtual or physical machines into which your microservices are deployed and managed. A machine or VM that's part of a cluster is called a node. Virtual machine scale sets are an Azure compute resource that you use to deploy and manage a collection of virtual machines as a set. Every node type that is defined in an Azure cluster is [set up as a separate scale set](service-fabric-cluster-nodetypes.md). Each node type can then be managed separately. After creating a Service Fabric cluster, you can scale a cluster node type vertically (change the resources of the nodes), upgrade the operating system of the node type VMs, or add a new virtual machine scale set to an existing cluster.  You can scale the cluster at any time, even when workloads are running on the cluster.  As the cluster scales, your applications automatically scale as well.
 
 > [!WARNING]
+> Do not start to change the primary nodetype VM SKU, if the cluster health is unhealthy. If the cluster health is unhealthy, you will only destabilize the cluster further, if you try to change the VM SKU.
+>
 > We recommend that you do not change the VM SKU of a scale set/node type unless it is running at [Silver durability or greater](service-fabric-cluster-capacity.md#the-durability-characteristics-of-the-cluster). Changing VM SKU Size is a data-destructive in-place infrastructure operation. Without some ability to delay or monitor this change, it is possible that the operation can cause data loss for stateful services or cause other unforeseen operational issues, even for stateless workloads. This means your primary node type, which is running stateful service fabric system services, or any node type that is running your stateful application work loads.
 >
 

articles/storage/data-lake-storage/using-databricks-spark.md

@@ -62,7 +62,7 @@ The next step is to create a [Databricks cluster](https://docs.azuredatabricks.n
     ```bash
     spark.conf.set("fs.azure.account.key.<account_name>.dfs.core.windows.net", "<account_key>") 
     spark.conf.set("fs.azure.createRemoteFileSystemDuringInitialization", "true")
-    dbutils.fs.ls("abfs://<file_system>@<account_name>.dfs.core.windows.net/")
+    dbutils.fs.ls("abfss://<file_system>@<account_name>.dfs.core.windows.net/")
     spark.conf.set("fs.azure.createRemoteFileSystemDuringInitialization", "false")
     ```
 
@@ -249,4 +249,4 @@ display(output)
 
 ## Next steps
 
-* [Extract, transform, and load data using Apache Hive on Azure HDInsight](tutorial-extract-transform-load-hive.md)
+* [Extract, transform, and load data using Apache Hive on Azure HDInsight](tutorial-extract-transform-load-hive.md)

articles/virtual-machines/linux/toc.yml

@@ -200,7 +200,7 @@
       href: use-remote-desktop.md
     - name: Join VM to Azure Active Directory
       items:
-        - name: Red Hat Enteprise Linux
+        - name: Red Hat Enterprise Linux
           href: ../../active-directory-domain-services/active-directory-ds-join-rhel-linux-vm.md
         - name: CentOS
           href: ../../active-directory-domain-services/active-directory-ds-join-centos-linux-vm.md

articles/virtual-machines/linux/tutorial-secure-web-server.md

@@ -36,7 +36,7 @@ If you choose to install and use the CLI locally, this tutorial requires that yo
 
 
 ## Overview
-Azure Key Vault safeguards cryptographic keys and secrets, such certificates or passwords. Key Vault helps streamline the certificate management process and enables you to maintain control of keys that access those certificates. You can create a self-signed certificate inside Key Vault, or upload an existing, trusted certificate that you already own.
+Azure Key Vault safeguards cryptographic keys and secrets, such as certificates or passwords. Key Vault helps streamline the certificate management process and enables you to maintain control of keys that access those certificates. You can create a self-signed certificate inside Key Vault, or upload an existing, trusted certificate that you already own.
 
 Rather than using a custom VM image that includes certificates baked-in, you inject certificates into a running VM. This process ensures that the most up-to-date certificates are installed on a web server during deployment. If you renew or replace a certificate, you don't also have to create a new custom VM image. The latest certificates are automatically injected as you create additional VMs. During the whole process, the certificates never leave the Azure platform or are exposed in a script, command-line history, or template.
 
@@ -48,7 +48,7 @@ Before you can create a Key Vault and certificates, create a resource group with
 az group create --name myResourceGroupSecureWeb --location eastus
 ```
 
-Next, create a Key Vault with [az keyvault create](/cli/azure/keyvault#az_keyvault_create) and enable it for use when you deploy a VM. Each Key Vault requires a unique name, and should be all lower case. Replace *<mykeyvault>* in the following example with your own unique Key Vault name:
+Next, create a Key Vault with [az keyvault create](/cli/azure/keyvault#az_keyvault_create) and enable it for use when you deploy a VM. Each Key Vault requires a unique name, and should be all lowercase. Replace *<mykeyvault>* in the following example with your own unique Key Vault name:
 
 ```azurecli-interactive 
 keyvault_name=<mykeyvault>