Update LAB_11-Implement_Monitoring.md

This commit is contained in:
staleycyn 2022-02-09 07:30:09 -08:00 committed by GitHub
parent 0f049f3d75
commit 75747ab392
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -43,6 +43,8 @@ In this task, you will deploy a virtual machine that will be used to test monito
1. In the toolbar of the Cloud Shell pane, click the **Upload/Download files** icon, in the drop-down menu, click **Upload** and upload the files **\\Allfiles\\Labs\\11\\az104-11-vm-template.json** and **\\Allfiles\\Labs\\11\\az104-11-vm-parameters.json** into the Cloud Shell home directory.
1. Edit the Parameters file you just uploaded and change the password. If you need help editing the file in the Shell please ask your instructor for assistance. As a best practice, secrets, like passwords, should be more securely stored in the Key Vault.
1. From the Cloud Shell pane, run the following to create the resource group that will be hosting the virtual machines (replace the `[Azure_region]` placeholder with the name of an Azure region where you intend to deploy Azure virtual machines):
>**Note**: Make sure to choose one of the regions listed as **Log Analytics Workspace Region** in the referenced in [Workspace mappings documentation](https://docs.microsoft.com/en-us/azure/automation/how-to/region-mappings)
@ -250,7 +252,7 @@ In this task, you will configure Azure virtual machine diagnostic settings.
>**Note**: You can ignore any warning prompts when connecting to the target virtual machines.
1. When prompted, sign in by using the **Student** username and **Pa55w.rd1234** password.
1. When prompted, sign in by using the **Student** username and the password from the parameters file.
1. Within the Remote Desktop session, click **Start**, expand the **Windows System** folder, and click **Command Prompt**.