Study/AZ-104-MicrosoftAzureAdministrator
1
0
Fork 0
mirror of https://github.com/MicrosoftLearning/AZ-104-MicrosoftAzureAdministrator.git synced 2026-02-11 03:17:03 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update LAB_08-Manage_Virtual_Machines.md

Browse Source
This commit is contained in:
staleycyn 2024-11-25 08:45:27 -08:00 committed by GitHub
parent 8f9d06b400
commit 99e118ee03
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
Instructions/Labs/LAB_08-Manage_Virtual_Machines.md
View File

@ -203,7 +203,7 @@ In this task, you will deploy an Azure virtual machine scale set across availabi
| Setting | Value | | Setting | Value |
| --- | --- | | --- | --- |
| Name | `vmss-vnet` | | Name | `vmss-vnet` |
| Address range | `10.82.0.0/20` (change what is there) | | Address range | `10.82.0.0/20` (delete the existing address range) |
| Subnet name | `subnet0` | | Subnet name | `subnet0` |
| Subnet range | `10.82.0.0/24` | | Subnet range | `10.82.0.0/24` |
@ -270,9 +270,9 @@ In this task, you scale the virtual machine scale set using a custom scale rule.
1. Select **Go to resource** or search for and select the **vmss1** scale set. 1. Select **Go to resource** or search for and select the **vmss1** scale set.
1. Choose **Availability + Scaling** from the left side menu, then choose **Scaling**. 1. Choose **Availability + Scale** from the left side menu, then choose **Scaling**.
>**Did you know?** You can **Manual scale** or **Custom autoscale**. In scale sets with a small number of VM instances, increasing or decreasing the instance count (Manual scale) may be best. In scale sets with a large number of VM instances, scaling based on metrics (Custom autoscale) may be more appropriate. >**Did you know?** You can **Manual scale** or **Custom autoscale**. In scale sets with a small number of VM instances, increasing or decreasing the instance count (Manual scale) may be best. In scale sets with a large number of VM instances, scaling based on metrics (Custom autoscale) may be more appropriate.
### Scale out rule ### Scale out rule
@ -291,7 +291,7 @@ In this task, you scale the virtual machine scale set using a custom scale rule.
| Time grain statistic | **Average** | | Time grain statistic | **Average** |
| Operation | **Increase percent by** (review other choices) | | Operation | **Increase percent by** (review other choices) |
| Cool down (minutes) | **5** | | Cool down (minutes) | **5** |
| Percentage | **20** | | Percentage | **50** |
![Screenshot of the scaling add rule page.](../media/az104-lab08-scale-rule.png) ![Screenshot of the scaling add rule page.](../media/az104-lab08-scale-rule.png)