Merge pull request #108785 from TimShererWithAquent/us1669724s

Azure CLI syntax blocks.

Author: Jak-MS

articles/germany/germany-get-started-connect-with-cli.md

@@ -33,23 +33,23 @@ There are multiple ways to [install the Azure CLI](https://docs.microsoft.com/cl
 
 To connect to Azure Germany, set the cloud:
 
-```
+```azurecli
 az cloud set --name AzureGermanCloud
 ```
 
 After the cloud is set, you can log in:
 
-```
+```azurecli
 az login --username [email protected]
 ```
 
 To confirm that the cloud is correctly set to AzureGermanCloud, run either of the following commands and then verify that the `isActive` flag is set to `true` for the AzureGermanCloud item:
 
-```
+```azurecli
 az cloud list
 ```
 
-```
+```azurecli
 az cloud list --output table
 ```
 
@@ -74,13 +74,13 @@ sudo npm install -g azure-cli
 
 After Azure CLI is installed, log in to Azure Germany:
 
-```
+```console
 azure login --username [email protected]  --environment AzureGermanCloud
 ```
 
 After you're logged in, you can run Azure CLI commands as you normally would:
 
-```
+```console
 azure webapp list my-resource-group
 ```
 

articles/hdinsight/hdinsight-administer-use-dotnet-sdk.md

@@ -171,7 +171,7 @@ The impact of changing the number of data nodes for each type of cluster support
     Here is an example how to use the CLI command to rebalance the Storm topology:
 
 
-    ```cli
+    ```console
     ## Reconfigure the topology "mytopology" to use 5 worker processes,
     ## the spout "blue-spout" to use 3 executors, and
     ## the bolt "yellow-bolt" to use 10 executors

articles/hdinsight/hdinsight-custom-ambari-db.md

@@ -51,7 +51,7 @@ Edit the parameters in the `azuredeploy.parameters.json` to specify information
 
 You can begin the deployment using the Azure CLI. Replace `<RESOURCEGROUPNAME>` with the resource group where you want to deploy your cluster.
 
-```azure-cli
+```azurecli
 az group deployment create --name HDInsightAmbariDBDeployment \
     --resource-group <RESOURCEGROUPNAME> \
     --template-file azuredeploy.json \

articles/hdinsight/hdinsight-hadoop-create-linux-clusters-curl-rest.md

@@ -218,15 +218,15 @@ Follow the steps documented in [Get started with Azure CLI](https://docs.microso
 
 1. From a command line, use the following command to list your Azure subscriptions.
 
-   ```bash
+   ```azurecli
    az account list --query '[].{Subscription_ID:id,Tenant_ID:tenantId,Name:name}'  --output table
    ```
 
     In the list, select the subscription that you want to use and note the **Subscription_ID** and __Tenant_ID__ columns. Save these values.
 
 2. Use the following command to create an application in Azure Active Directory.
 
-   ```bash
+   ```azurecli
    az ad app create --display-name "exampleapp" --homepage "https://www.contoso.org" --identifier-uris "https://www.contoso.org/example" --password <Your password> --query 'appId'
    ```
 
@@ -239,15 +239,15 @@ Follow the steps documented in [Get started with Azure CLI](https://docs.microso
 
 3. Use the following command to create a service principal using the **App ID**.
 
-   ```bash
+   ```azurecli
    az ad sp create --id <App ID> --query 'objectId'
    ```
 
      The value returned from this command is the __Object ID__. Save this value.
 
 4. Assign the **Owner** role to the service principal using the **Object ID** value. Use the **subscription ID** you obtained earlier.
 
-   ```bash
+   ```azurecli
    az role assignment create --assignee <Object ID> --role Owner --scope /subscriptions/<Subscription ID>/
    ```
 

articles/hdinsight/hdinsight-sales-insights-etl.md

@@ -35,28 +35,28 @@ Download [Power BI Desktop](https://www.microsoft.com/download/details.aspx?id=4
 1. List your subscriptions by typing the command `az account list --output table`. Note the ID of the subscription that you will use for this project.
 1. Set the subscription you will use for this project and set the subscriptionID variable which will be used later.
 
-    ```cli
+    ```azurecli
     subscriptionID="<SUBSCRIPTION ID>"
     az account set --subscription $subscriptionID
     ```
 
 1. Create a new resource group for the project and set the resourceGroup variable which will be used later.
 
-    ```cli
+    ```azurecli
     resourceGroup="<RESOURCE GROUP NAME>"
     az group create --name $resourceGroup --location westus
     ```
 
 1. Download the data and scripts for this tutorial from the [HDInsight sales insights ETL repository](https://github.com/Azure-Samples/hdinsight-sales-insights-etl) by entering the following commands in Cloud Shell:
 
-    ```cli
+    ```console
     git clone https://github.com/Azure-Samples/hdinsight-sales-insights-etl.git
     cd hdinsight-sales-insights-etl
     ```
 
 1. Enter `ls` at the shell prompt to verify that the following files and directories have been created:
 
-   ```
+   ```output
    salesdata scripts templates
    ```
 
@@ -78,7 +78,7 @@ The `resources.sh` script contains the following commands. It is not required fo
 
 * `az group deployment create` - This command uses an Azure Resource Manager template (`resourcestemplate.json`) to create the specified resources with the desired configuration. 
 
-    ```cli
+    ```azurecli
     az group deployment create --name ResourcesDeployment \
         --resource-group $resourceGroup \
         --template-file resourcestemplate.json \
@@ -87,7 +87,7 @@ The `resources.sh` script contains the following commands. It is not required fo
 
 * `az storage blob upload-batch` - This command uploads the sales data .csv files into the newly created Blob storage account by using this command:
 
-    ```cli
+    ```azurecli
     az storage blob upload-batch -d rawdata \
         --account-name <BLOB STORAGE NAME> -s ./ --pattern *.csv
     ```
@@ -111,7 +111,7 @@ The default password for SSH access to the clusters is `Thisisapassword1`. If yo
 
 > [!Note]
 > After you know the names of the storage accounts, you can get the account keys by using the following command at the Azure Cloud Shell prompt:
-> ```cli
+> ```azurecli
 > az storage account keys list \
 >    --account-name <STORAGE NAME> \
 >    --resource-group $rg \
@@ -174,19 +174,19 @@ For other ways to transform data by using HDInsight, see [this article on using
 
 1. Copy the `query.hql` file to the LLAP cluster by using SCP:
 
-    ```
+    ```console
     scp scripts/query.hql sshuser@<clustername>-ssh.azurehdinsight.net:/home/sshuser/
     ```
 
 2. Use SSH to access the LLAP cluster by using the following command, and then enter your password. If you haven't altered the `resourcesparameters.json` file, the password is `Thisisapassword1`.
 
-    ```
+    ```console
     ssh sshuser@<clustername>-ssh.azurehdinsight.net
     ```
 
 3. Use the following command to run the script:
 
-    ```
+    ```console
     beeline -u 'jdbc:hive2://localhost:10001/;transportMode=http' -f query.hql
     ```
 
@@ -211,7 +211,7 @@ After the data is loaded, you can experiment with the dashboard that you want to
 
 If you're not going to continue to use this application, delete all resources by using the following command so that you aren't charged for them.
 
-```azurecli-interactive 
+```azurecli-interactive
 az group delete -n $resourceGroup
 ```
 

articles/hdinsight/hdinsight-scaling-best-practices.md

@@ -83,7 +83,7 @@ The impact of changing the number of data nodes varies for each type of cluster
 
     Here is an example CLI command to rebalance the Storm topology:
 
-    ```cli
+    ```console
     ## Reconfigure the topology "mytopology" to use 5 worker processes,
     ## the spout "blue-spout" to use 3 executors, and
     ## the bolt "yellow-bolt" to use 10 executors
@@ -137,11 +137,11 @@ When HDFS detects that the expected number of block copies aren't available, HDF
 
 ### Example errors when safe mode is turned on
 
-```
+```output
 org.apache.hadoop.hdfs.server.namenode.SafeModeException: Cannot create directory /tmp/hive/hive/819c215c-6d87-4311-97c8-4f0b9d2adcf0. Name node is in safe mode.
 ```
 
-```
+```output
 org.apache.http.conn.HttpHostConnectException: Connect to active-headnode-name.servername.internal.cloudapp.net:10001 [active-headnode-name.servername. internal.cloudapp.net/1.1.1.1] failed: Connection refused
 ```
 

articles/hdinsight/hdinsight-storage-sharedaccesssignature-permissions.md

@@ -87,7 +87,7 @@ Save the SAS token that is produced at the end of each method. The token will lo
 
 Replace `RESOURCEGROUP`, `STORAGEACCOUNT`, and `STORAGECONTAINER` with the appropriate values for your existing storage container. Change directory to `hdinsight-dotnet-python-azure-storage-shared-access-signature-master` or revise the `-File` parameter to contain the absolute path for `Set-AzStorageblobcontent`. Enter the following PowerShell command:
 
-```PowerShell
+```powershell
 $resourceGroupName = "RESOURCEGROUP"
 $storageAccountName = "STORAGEACCOUNT"
 $containerName = "STORAGECONTAINER"
@@ -170,7 +170,7 @@ The use of variables in this section is based on a Windows environment. Slight v
 
 2. Set the retrieved primary key to a variable for later use. Replace `PRIMARYKEY` with the retrieved value in the prior step, and then enter the command below:
 
-    ```azurecli
+    ```console
     #set variable for primary key
     set AZURE_STORAGE_KEY=PRIMARYKEY
     ```

articles/hdinsight/kafka/apache-kafka-azure-container-services.md

@@ -119,7 +119,7 @@ Use the following steps to configure Kafka to advertise IP addresses instead of
 
 5. To configure Kafka to advertise IP addresses, add the following text to the bottom of the __kafka-env-template__ field:
 
-    ```
+    ```bash
     # Configure Kafka to advertise IP addresses instead of FQDN
     IP_ADDRESS=$(hostname -i)
     echo advertised.listeners=$IP_ADDRESS
@@ -171,7 +171,7 @@ At this point, Kafka and Azure Kubernetes Service are in communication through t
 
 5. Log in to your Azure Container Registry (ACR) and find the loginServer name:
 
-    ```bash
+    ```azurecli
     az acr login --name <acrName>
     az acr list --resource-group myResourceGroup --query "[].{acrLoginServer:loginServer}" --output table
     ```

articles/hdinsight/kafka/apache-kafka-connector-iot-hub.md

@@ -160,7 +160,7 @@ To retrieve IoT hub information used by the connector, use the following steps:
 
    * __From the [Azure CLI](https://docs.microsoft.com/cli/azure/get-started-with-azure-cli)__, use the following command:
 
-       ```azure-cli
+       ```azurecli
        az iot hub show --name myhubname --query "{EventHubCompatibleName:properties.eventHubEndpoints.events.path,EventHubCompatibleEndpoint:properties.eventHubEndpoints.events.endpoint,Partitions:properties.eventHubEndpoints.events.partitionCount}"
        ```
 
@@ -184,15 +184,15 @@ To retrieve IoT hub information used by the connector, use the following steps:
 
         1. To get the primary key value, use the following command:
 
-            ```azure-cli
+            ```azurecli
             az iot hub policy show --hub-name myhubname --name service --query "primaryKey"
             ```
 
             Replace `myhubname` with the name of your IoT hub. The response is the primary key to the `service` policy for this hub.
 
         2. To get the connection string for the `service` policy, use the following command:
 
-            ```azure-cli
+            ```azurecli
             az iot hub show-connection-string --name myhubname --policy-name service --query "connectionString"
             ```
 
@@ -272,7 +272,7 @@ For more information on configuring the connector sink, see [https://github.com/
 
     Once the connector starts, send messages to IoT hub from your device(s). As the connector reads messages from the IoT hub and stores them in the Kafka topic, it logs information to the console:
 
-    ```text
+    ```output
     [2017-08-29 20:15:46,112] INFO Polling for data - Obtained 5 SourceRecords from IotHub (com.microsoft.azure.iot.kafka.connect.IotHubSourceTask:39)
     [2017-08-29 20:15:54,106] INFO Finished WorkerSourceTask{id=AzureIotHubConnector-0} commitOffsets successfully in 4 ms (org.apache.kafka.connect.runtime.WorkerSourceTask:356)
     ```
@@ -292,7 +292,7 @@ From an SSH connection to the edge node, use the following command to start the
 
 As the connector runs, information similar to the following text is displayed:
 
-```text
+```output
 [2017-08-30 17:49:16,150] INFO Started tasks to send 1 messages to devices. (com.microsoft.azure.iot.kafka.connect.sink.
 IotHubSinkTask:47)
 [2017-08-30 17:49:16,150] INFO WorkerSinkTask{id=AzureIotHubSinkConnector-0} Committing offsets (org.apache.kafka.connect.runtime.WorkerSinkTask:262)
@@ -342,7 +342,7 @@ To send messages through the connector, use the following steps:
 
     If you're using the simulated Raspberry Pi device, and it's running, the following message is logged by the device:
 
-    ```text
+    ```output
     Receive message: Turn On
     ```
 

articles/healthcare-apis/fhir-oss-cli-quickstart.md

@@ -39,7 +39,7 @@ az group deployment create -g $servicename --template-uri https://raw.githubuser
 
 Obtain a capability statement from the FHIR server with:
 
-```azurecli-interactive
+```console
 metadataurl="https://${servicename}.azurewebsites.net/metadata"
 curl --url $metadataurl
 ```