fix

Author: v-thepet

articles/batch/quick-create-cli.md

@@ -188,7 +188,7 @@ AZ_BATCH_TASK_USER_IDENTITY=PoolNonAdmin
 
 ## Clean up resources
 
-If you want to continue with Batch tutorials and samples, you can use the Batch account and linked storage account you created in this quickstart. There's no charge for the Batch account itself.
+If you want to continue with Batch tutorials and samples, you can use the Batch and linked storage accounts you created in this quickstart. There's no charge for the Batch account itself.
 
 Pools and nodes incur charges while the nodes are running, even if they aren't running jobs. When you no longer need a pool, use the [az batch pool delete](/cli/azure/batch/pool#az-batch-pool-delete) command to delete it. Deleting a pool deletes all task output on the nodes, and the nodes themselves.
 

articles/batch/quick-create-portal.md

@@ -53,7 +53,6 @@ Next, create a pool of Windows compute nodes in your Batch account. The followin
 
 1. Under **Operating System**, select the following settings:
    - **Publisher**: Select **microsoftwindowsserver**.
-   - **Offer**: Select **windowsserver** if not already selected.
    - **Sku**: Select **2019-datacenter-core-smalldisk**.
 
 1. Scroll down to **Node size**, and for **VM size**, select **Standard_A1_v2**.
@@ -64,7 +63,7 @@ Next, create a pool of Windows compute nodes in your Batch account. The followin
 
 Batch creates the pool immediately, but takes a few minutes to allocate and start the compute nodes. On the **Pools** page, select **myPool** to go to the **myPool** page and see the pool status of **Resizing** under **Essentials** > **Allocation state**. You can do the following steps to create a job and tasks while the pool state is still changing.
 
-After a few minutes, the **Allocation state** changes to **Steady**, and the nodes start. To check the state of the nodes, select **Nodes** in the **myPool** page left navigation. When a node's state is **Idle**, it is ready to run tasks.
+After a few minutes, the **Allocation state** changes to **Steady**, and the nodes start. To check the state of the nodes, select **Nodes** in the **myPool** page left navigation. When a node's state is **Idle**, it's ready to run tasks.
 
 ## Create a job
 
@@ -116,7 +115,7 @@ The standard output for this task shows the Azure Batch environment variables th
 
 ## Clean up resources
 
-If you want to continue with Batch tutorials and samples, you can use the Batch account and linked storage account you created in this quickstart. There's no charge for the Batch account itself.
+If you want to continue with Batch tutorials and samples, you can use the Batch and linked storage accounts you created in this quickstart. There's no charge for the Batch account itself.
 
 Pools and nodes incur charges while the nodes are running, even if they aren't running jobs. When you no longer need a pool, delete it. On your Batch account page, select **Pools** from the left navigation. Select the pool to delete on the **Pools** page, and then select **Delete** on the pool page. Deleting a pool deletes all task output on the nodes, and the nodes themselves.
 

articles/batch/quick-run-dotnet.md

@@ -1,9 +1,8 @@
 ---
 title: 'Quickstart: Use a .NET app to create and run a Batch job'
 description: Follow this quickstart to run a C# app that uses the Batch .NET client library to create and run Batch pools, nodes, jobs, and tasks.
-"In this quickstart, you run an Azure Batch sample job and tasks from a C# application with ."
 ms.topic: quickstart
-ms.date: 05/25/2021
+ms.date: 04/14/2023
 ms.devlang: csharp
 ms.custom: mvc, devx-track-csharp, mode-api
 ---
@@ -152,7 +151,7 @@ The [Azure Batch .NET Quickstart](https://github.com/Azure-Samples/batch-dotnet-
 
 ### Create a pool of compute nodes
 
-To create a Batch pool, the app uses the [BatchClient.PoolOperations.CreatePool](/dotnet/api/microsoft.azure.batch.pooloperations.createpool) method to set the number of nodes, VM size, and pool configuration. The following[VirtualMachineConfiguration](/dotnet/api/microsoft.azure.batch.virtualmachineconfiguration) object specifies an [ImageReference](/dotnet/api/microsoft.azure.batch.imagereference) to a Windows Server Marketplace image. Batch supports a wide range of Windows Server and Linux Marketplace OS images, as well as custom VM images.
+To create a Batch pool, the app uses the [BatchClient.PoolOperations.CreatePool](/dotnet/api/microsoft.azure.batch.pooloperations.createpool) method to set the number of nodes, VM size, and pool configuration. The following[VirtualMachineConfiguration](/dotnet/api/microsoft.azure.batch.virtualmachineconfiguration) object specifies an [ImageReference](/dotnet/api/microsoft.azure.batch.imagereference) to a Windows Server Marketplace image. Batch supports a wide range of Windows Server and Linux Marketplace OS images, and also supports custom VM images.
 
 The `PoolNodeCount` and VM size `PoolVMSize` are defined constants. The app creates a pool of two *Standard_A1_v2* nodes. This size offers a good balance of performance versus cost for this quickstart.
 
@@ -254,7 +253,7 @@ When you no longer need your Batch account and storage account, you can delete t
 
 ## Next steps
 
-In this quickstart, you ran an app that uses the Batch .NET API to create a Batch pool, nodes, job, and tasks. The job uploaded resource files to an storage container, ran tasks on the nodes, and displayed output from the nodes.
+In this quickstart, you ran an app that uses the Batch .NET API to create a Batch pool, nodes, job, and tasks. The job uploaded resource files to a storage container, ran tasks on the nodes, and displayed output from the nodes.
 
 Now that you understand the key concepts of the Batch service, you're ready to use Batch with more realistic, larger scale workloads. To learn more about Azure Batch and walk through a parallel workload with a real-world application, continue to the Batch .NET tutorial.
 

articles/batch/quick-run-python.md

@@ -150,7 +150,7 @@ The [Azure Batch Python Quickstart](https://github.com/Azure-Samples/batch-pytho
 
 ### Create a pool of compute nodes
 
-To create a Batch pool, the app uses the [PoolAddParameter](/python/api/azure-batch/azure.batch.models.pooladdparameter) class to set the number of nodes, VM size, and pool configuration. The following [VirtualMachineConfiguration](/python/api/azure-batch/azure.batch.models.virtualmachineconfiguration) object specifies an [ImageReference](/python/api/azure-batch/azure.batch.models.imagereference) to an Ubuntu Server 20.04 LTS Azure Marketplace image. Batch supports a wide range of Linux and Windows Server Marketplace images as well as custom VM images.
+To create a Batch pool, the app uses the [PoolAddParameter](/python/api/azure-batch/azure.batch.models.pooladdparameter) class to set the number of nodes, VM size, and pool configuration. The following [VirtualMachineConfiguration](/python/api/azure-batch/azure.batch.models.virtualmachineconfiguration) object specifies an [ImageReference](/python/api/azure-batch/azure.batch.models.imagereference) to an Ubuntu Server 20.04 LTS Azure Marketplace image. Batch supports a wide range of Linux and Windows Server Marketplace images, and also supports custom VM images.
 
 The `POOL_NODE_COUNT` and `POOL_VM_SIZE` are defined constants. The app creates a pool of two size *Standard_DS1_v2* nodes. This size offers a good balance of performance versus cost for this quickstart.
 
@@ -250,7 +250,7 @@ When you no longer need your Batch resources, you can delete the resource group
 
 ## Next steps
 
-In this quickstart, you ran an app that uses the Batch Python API to create a Batch pool, nodes, job, and tasks. The job uploaded resource files to an storage container, ran tasks on the nodes, and displayed output from the nodes.
+In this quickstart, you ran an app that uses the Batch Python API to create a Batch pool, nodes, job, and tasks. The job uploaded resource files to a storage container, ran tasks on the nodes, and displayed output from the nodes.
 
 Now that you understand the key concepts of the Batch service, you're ready to use Batch with more realistic, larger scale workloads. To learn more about Azure Batch and walk through a parallel workload with a real-world application, continue to the Batch Python tutorial.