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‎articles/aks/use-cosmosdb-osba-mongo-app.md

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@@ -188,7 +188,7 @@ You can use [Azure Dev Spaces](../dev-spaces/azure-dev-spaces.md) to deploy the
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To enable Azure Dev Spaces in your AKS cluster:
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```cmd
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```azurecli
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az aks enable-addons --addons http_application_routing -g MyResourceGroup -n MyAKS
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az aks use-dev-spaces -g MyResourceGroup -n MyAKS
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```
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Create a file at the root of your project named *Dockerfile* with this content:
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```Dockerfile
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```dockerfile
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FROM openjdk:8-jdk-alpine
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EXPOSE 8080
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WORKDIR /app

‎articles/azure-databricks/databricks-extract-load-sql-data-warehouse.md

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@@ -221,7 +221,7 @@ In the cell, press **SHIFT + ENTER** to run the code.
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```
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You see an output similar to the following snippet:
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```bash
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```output
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+---------------------+---------+---------+------+-------------+----------+---------+-------+--------------------+------+--------+-------------+---------+--------------------+------+-------------+------+
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| artist| auth|firstName|gender|itemInSession| lastName| length| level| location|method| page| registration|sessionId| song|status| ts|userId|
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+---------------------+---------+---------+------+-------------+----------+---------+-------+--------------------+------+--------+-------------+---------+--------------------+------+-------------+------+
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You receive output as shown in the following snippet:
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```bash
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```output
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+---------+----------+------+--------------------+-----+
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|firstname| lastname|gender| location|level|
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+---------+----------+------+--------------------+-----+
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You receive output as shown in the following snippet.
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```bash
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```output
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+---------+----------+------+--------------------+-----------------+
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|firstname| lastname|gender| location|subscription_type|
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+---------+----------+------+--------------------+-----------------+

‎articles/azure-government/documentation-government-k8.md

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@@ -47,7 +47,7 @@ This article describes how to deploy a Kubernetes cluster to Azure Government us
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Via Azure CLI:
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```bash
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```azurecli
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az cloud set --n AzureUSGovernment
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az login
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az account list

‎articles/azure-monitor/insights/vminsights-enable-at-scale-powershell.md

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@@ -96,7 +96,7 @@ To use the Azure CLI, you first need to install and use the CLI locally. You mus
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The configuration change can take a few minutes to finish. When it's finished, a message displays that's similar to the following and includes the result:
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```powershell
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```output
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provisioningState : Succeeded
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```
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The configuration change can take a few minutes to finish. When it's finished, a message is displayed that's similar to the following and includes the result:
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```azurecli
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```output
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provisioningState : Succeeded
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```
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@@ -151,7 +151,7 @@ New-AzResourceGroupDeployment -Name OnboardCluster -ResourceGroupName <ResourceG
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```
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The configuration change can take a few minutes to finish. When it's finished, a message displays that's similar to the following and includes the result:
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```powershell
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```output
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provisioningState : Succeeded
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```
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The output resembles the following:
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```azurecli
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```output
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provisioningState : Succeeded
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```
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‎articles/azure-monitor/platform/alerts-metric-logs.md

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@@ -362,7 +362,7 @@ New-AzResourceGroupDeployment -ResourceGroupName "myRG" -TemplateFile metricfrom
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Or use deploy Resource Template using Azure CLI:
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```CLI
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```azurecli
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az group deployment create --resource-group myRG --template-file metricfromLogsAlertStatic.json --parameters @metricfromLogsAlertStatic.parameters.json
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```
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Or use deploy Resource Template using Azure CLI:
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```CLI
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```azurecli
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az group deployment create --resource-group myRG --template-file metricfromLogsAlertDynamic.json --parameters @metricfromLogsAlertDynamic.parameters.json
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```
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‎articles/azure-monitor/platform/rest-api-walkthrough.md

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@@ -115,7 +115,7 @@ Invoke-RestMethod -Uri $request `
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The resulting JSON response body would be similar to the following example: (Note that the second metric has dimensions)
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```JSON
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```json
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{
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"value": [
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{
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The resulting JSON response body would be similar to the following example:
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```JSON
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```json
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{
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"timespan": "2018-03-01T00:00:00Z/2018-03-02T00:00:00Z",
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"value": [
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The resulting JSON response body would be similar to the following example:
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```JSON
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```json
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{
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"cost": 0,
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"timespan": "2018-03-01T02:00:00Z/2018-03-01T02:05:00Z",
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The resulting JSON response body would be similar to the following example:
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```JSON
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```json
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{
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"id": "/subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourceGroups/azmon-rest-api-walkthrough/providers/Microsoft.Logic/workflows/ContosoTweets/providers/microsoft.insights/metricdefinitions",
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"value": [
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The resulting JSON response body would be similar to the following example:
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```JSON
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```json
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"value": [
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{
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The resulting JSON response body would be similar to the following example:
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```JSON
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```json
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"value": [
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{
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For example, in order to retrieve the metric definitions for a specific Logic App, issue the following command:
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```
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```console
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armclient GET /subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourceGroups/azmon-rest-api-walkthrough/providers/Microsoft.Logic/workflows/ContosoTweets/providers/microsoft.insights/metricDefinitions?api-version=2016-03-01
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The result should be similar to the following example:
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```
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```output
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Id : /subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourceGroups/azmon-rest-api-walkthrough/providers/Microsoft.Logic/workflows/ContosoTweets
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Name : ContosoTweets
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Type : Microsoft.Logic/workflows
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To retrieve the resource ID for an Azure Storage account using the Azure CLI, execute the `az storage account show` command, as shown in the following example:
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```
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```azurecli
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az storage account show -g azmon-rest-api-walkthrough -n contosotweets2017
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```
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The result should be similar to the following example:
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```JSON
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```json
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{
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"accessTier": null,
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"creationTime": "2017-08-18T19:58:41.840552+00:00",

‎articles/cognitive-services/text-analytics/includes/key-phrase-extraction-kubernetes-config-deploy.md

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After this command runs, it reports a message similar to the following:
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```console
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```output
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Merged "your-cluster-name" as current context in /home/username/.kube/config
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```
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1. Open the text editor of choice. This example uses Visual Studio Code.
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```azurecli
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```console
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code .
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```
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After the command successfully applies the deployment configuration, a message appears similar to the following output:
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```console
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```output
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deployment.apps "keyphrase" created
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service "keyphrase" created
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The output for the running status of the pod:
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```console
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```output
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NAME READY STATUS RESTARTS AGE
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keyphrase-5c9ccdf575-mf6k5 1/1 Running 0 1m
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```
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The output for the running status of the *keyphrase* service in the pod:
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```console
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```output
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NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
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kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 2m
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keyphrase LoadBalancer 10.0.100.64 168.61.156.180 5000:31234/TCP 2m

‎articles/cognitive-services/text-analytics/includes/language-detection-kubernetes-config-deploy.md

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After this command runs, it reports a message similar to the following:
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```output
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Merged "your-cluster-name" as current context in /home/username/.kube/config
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1. Open the text editor of choice. This example uses Visual Studio Code.
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```console
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After the command successfully applies the deployment configuration, a message appears similar to the following output:
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deployment.apps "language" created
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```output
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NAME READY STATUS RESTARTS AGE
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language-5c9ccdf575-mf6k5 1/1 Running 0 1m
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```
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The output for the running status of the *language* service in the pod:
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```output
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NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
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kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 2m
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language LoadBalancer 10.0.100.64 168.61.156.180 5000:31234/TCP 2m

‎articles/cognitive-services/text-analytics/includes/sentiment-analysis-kubernetes-config-deploy.md

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1. Open the text editor of choice. This example uses Visual Studio Code.
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```output
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NAME READY STATUS RESTARTS AGE
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sentiment-5c9ccdf575-mf6k5 1/1 Running 0 1m
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The output for the running status of the *sentiment* service in the pod:
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```output
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NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
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kubernetes ClusterIP 10.0.0.1 <none> 443/TCP 2m
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sentiment LoadBalancer 10.0.100.64 168.61.156.180 5000:31234/TCP 2m

‎includes/cognitive-services-azure-active-directory-authentication.md

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1. Start by opening the Azure Cloud Shell. Then [select a subscription](https://docs.microsoft.com/powershell/module/az.accounts/set-azcontext?view=azps-3.3.0):
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Set-AzContext -SubscriptionName <SubscriptionName>
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2. Next, [create a Cognitive Services resource](https://docs.microsoft.com/powershell/module/az.cognitiveservices/new-azcognitiveservicesaccount?view=azps-1.8.0) with a custom subdomain. The subdomain name needs to be globally unique and cannot include special characters, such as: ".", "!", ",".
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New-AzCognitiveServicesAccount -ResourceGroupName <RESOURCE_GROUP_NAME> -name <ACCOUNT_NAME> -Type <ACCOUNT_TYPE> -SkuName <SUBSCRIPTION_TYPE> -Location <REGION> -CustomSubdomainName <UNIQUE_SUBDOMAIN>
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1. First, let's register an [AAD application](https://docs.microsoft.com/powershell/module/Az.Resources/New-AzADApplication?view=azps-1.8.0).
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```powershell-interactive
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$SecureStringPassword = ConvertTo-SecureString -String <YOUR_PASSWORD> -AsPlainText -Force
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New-AzADApplication -DisplayName <APP_DISPLAY_NAME> -IdentifierUris <APP_URIS> -Password $SecureStringPassword
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2. Next, you need to [create a service principal](https://docs.microsoft.com/powershell/module/az.resources/new-azadserviceprincipal?view=azps-1.8.0) for the AAD application.
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New-AzADServicePrincipal -ApplicationId <APPLICATION_ID>
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In this sample, a password is used to authenticate the service principal. The token provided is then used to call the Computer Vision API.
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$context.Tenant.Id
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$authContext = New-Object "Microsoft.IdentityModel.Clients.ActiveDirectory.AuthenticationContext" -ArgumentList "https://login.windows.net/<TENANT_ID>"
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$secureSecretObject = New-Object "Microsoft.IdentityModel.Clients.ActiveDirectory.SecureClientSecret" -ArgumentList $SecureStringPassword
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$clientCredential = New-Object "Microsoft.IdentityModel.Clients.ActiveDirectory.ClientCredential" -ArgumentList $app.ApplicationId, $secureSecretObject
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$token=$authContext.AcquireTokenAsync("https://cognitiveservices.azure.com/", $clientCredential).Result
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$token
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$url = $account.Endpoint+"vision/v1.0/models"
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$result = Invoke-RestMethod -Uri $url -Method Get -Headers @{"Authorization"=$token.CreateAuthorizationHeader()} -Verbose
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$result | ConvertTo-Json

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