Win IT Exam with Last Dumps 2024

Only a global administrator can add users to this tenant.
Reference:
https://docs.microsoft.com/en-us/azure/devops/organizations/accounts/add-users-to-azure-ad

Network Performance Monitor is a cloud-based hybrid network monitoring solution that helps you monitor network performance between various points in your network infrastructure. It also helps you monitor network connectivity to service and application endpoints and monitor the performance of Azure ExpressRoute.
You can monitor network connectivity across cloud deployments and on-premises locations, multiple data centers, and branch offices and mission-critical multitier applications or microservices. With Performance Monitor, you can detect network issues before users complain.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/insights/network-performance-monitor

Box 1: four times -
From the exhibit we see that the time granularity is 6 hours: Last 30 days (Automatic - 6 hours).
CPU Percentage Last days Automatic - hours
Box 2: scaled up -
Scale up when:
* You see that your workloads are hitting some performance limit such as CPU or I/O limits.
* You need to quickly react to fix performance issues that can't be solved with classic database optimization.
* You need a solution that allows you to change service tiers to adapt to changing latency requirements.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/essentials/metrics-troubleshoot
https://azure.microsoft.com/en-us/overview/scaling-out-vs-scaling-up

Step 1: From the Azure portal, click File Recovery from the vault
Step 2. Select a restore point that contains the deleted files
Step 3: Download and run the script to mount a drive on the local computer
Generate and download script to browse and recover files:
Step 4: Copy the files using File Explorer!
After the disks are attached, use Windows File Explorer to browse the new volumes and files. The restore files functionality provides access to all files in a recovery point. Manage the files via File Explorer as you would for normal files.
Step 1-3 below:
To restore files or folders from the recovery point, go to the virtual machine and perform the following steps:
1. Sign in to the Azure portal and in the left pane, select Virtual machines. From the list of virtual machines, select the virtual machine to open that virtual machine's dashboard.
2. In the virtual machine's menu, select Backup to open the Backup dashboard.
3. In the Backup dashboard menu, select File Recovery.

The File Recovery menu opens.

4. From the Select recovery point drop-down menu, select the recovery point that holds the files you want. By default, the latest recovery point is already selected.
5. Select Download Executable (for Windows Azure VMs) or Download Script (for Linux Azure VMs, a python script is generated) to download the software used to copy files from the recovery point.
Running the script and identifying volumes:
For Linux machines, a python script is generated. Download the script and copy it to the relevant/compatible Linux server.
Reference:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-restore-files-from-vm
https://docs.microsoft.com/en-us/azure/backup/backup-azure-vms-automation#restore-files-from-an-azure-vm-backup

Box 1: A Recovery Services vault
You can set up a Recovery Services vault and configure backup for multiple Azure VMs.
Box 2: A backup policy -
In Choose backup policy, do one of the following:
- Leave the default policy. This backs up the VM once a day at the time specified, and retains backups in the vault for 30 days.
- Select an existing backup policy if you have one.
- Create a new policy, and define the policy settings.
Reference:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-vms-first-look-arm

For the first step to create the new alert tule, under the Create Alert section, you are going to select your Log Analytics workspace as the resource, since this is a log based alert signal.
Reference:
https://docs.microsoft.com/en-us/windows-server/storage/storage-spaces/configure-azure-monitor

From Home -> Cost Management + Billing -> Cost Management, scroll down on the options and select View Recommendations:

Azure Cost Management / Advisor -
From here you will see the recommendations for your subscription, if you have orphaned disks, they will be listed.
Reference:
https://codeserendipity.com/2020/07/08/microsoft-azure-find-unattached-disks-that-can-be-deleted-and-other-recommendations/

Upload the web test -
1. In the Application Insights portal on the Availability pane select Add Classic test, then select Multi-step as the SKU.
2. Upload your multi-step web test.
3. Set the test locations, frequency, and alert parameters.
4. Select Create.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/availability-multistep

Box 1: AzureActivity -
The AzureActivity table has entries from the Azure activity log, which provides insight into subscription-level or management group-level events occuring in Azure.
Let's see only Critical entries during a specific week.
The where operator is common in the Kusto Query Language. where filters a table to rows that match specific criteria. The following example uses multiple commands. First, the query retrieves all records for the table. Then, it filters the data for only records that are in the time range. Finally, it filters those results for only records that have a Critical level.
AzureActivity -
| where TimeGenerated > datetime(10-01-2020) and TimeGenerated < datetime(10-07-2020)
| where Level == 'Critical'
Incorrect:
not Perf: The Perf table has performance data that's collected from virtual machines that run the Log Analytics agent.
Box 2: | project -
Select a subset of columns: project.
Use project to include only the columns you want. Building on the preceding example, let's limit the output to certain columns:
AzureActivity -
| where TimeGenerated > datetime(10-01-2020) and TimeGenerated < datetime(10-07-2020)
| where Level == 'Critical'
| project TimeGenerated, Level, OperationNameValue, ResourceGroup, _ResourceId
Reference:
https://github.com/MicrosoftDocs/dataexplorer-docs/blob/main/data-explorer/kusto/query/tutorial.md