Free Administering Windows Server Practice Questions

Sync groups: 3. Storage Sync Services: 1.

In Azure File Sync, a sync group defines a single sync topology and can contain exactly one cloud endpoint (one Azure file share) but can contain multiple server endpoints (on-premises server locations) that all sync to that same file share. Fabrikam needs newyorkfiles to sync only to FS1, seattlefiles to sync only to FS2, and companyfiles to sync to both FS1 and FS2. Because each Azure file share can only belong to one sync group, newyorkfiles requires its own sync group with a single server endpoint on FS1, seattlefiles requires its own sync group with a single server endpoint on FS2, and companyfiles requires a third sync group whose one cloud endpoint (companyfiles) has two server endpoints, one on FS1 and one on FS2, which Azure File Sync fully supports within a single sync group. That gives a minimum of three sync groups. A Storage Sync Service is the top-level Azure resource that contains and manages sync groups, and there is no requirement here that forces the shares into separate Storage Sync Service instances (such as differing regions or subscriptions); a single Storage Sync Service can hold all three sync groups. Therefore only one Storage Sync Service is required.

hvc.exe, ssh User2@VM2

The requirement is to use a direct SSH session to manage all the supported virtual machines on HyperV1, without relying on a network path to the guest. Hyper-V provides hvc.exe, a helper used as an SSH ProxyCommand, that opens an SSH session to a virtual machine over the VMBus (the internal Hyper-V socket/console channel) rather than over the network, which works even when the guest has no reachable IP configuration and only default management tools installed, matching the stated environment. Direct SSH management this way requires the guest to run an SSH server; of the three VMs, only VM2 runs Red Hat Enterprise Linux, which includes OpenSSH server support out of the box, so it is the only VM realistically " supported " for this direct SSH scenario as described, and the account to use is User2, the local account that exists on VM2. VM1 and VM3 both run Windows Server, so " direct SSH, " as intended by this requirement, targets the Linux guest. Connect-PSSession and Connect-WSMan are PowerShell remoting tools, not SSH, and mstsc.exe launches a graphical Remote Desktop session rather than a console-mode SSH session, so none of those alternatives fit. The correct combination is hvc.exe used as the SSH proxy, connecting as User2@VM2.

1. Deploy the Azure Storage Sync service. 2. Install and register the Azure File Sync agent. 3. Create a sync group. 4. Add a server endpoint.

Data1 is a file share on VM1 that must be synced to the Azure Files share1 using Azure File Sync. The documented deployment order starts in Azure: you must first deploy a Storage Sync Service resource, because the on-premises agent registration process needs an existing Storage Sync Service to register against. With that resource in place, the next step, already fixed in the sequence, is to install the Azure File Sync agent on VM1 and register the server with the Storage Sync Service, which establishes the server ' s identity and trust relationship with Azure. After registration, you create a sync group, the container that pairs one Azure file share (the cloud endpoint) with one or more on-premises folders (server endpoints); the sync group must exist before endpoints can be attached to it. Finally, you add a server endpoint pointing at the Data1 path on VM1, which starts the actual namespace and content synchronization with share1. Installing the DFS Replication role service and installing the Storage Replica feature are unrelated technologies, DFS-R replicates between on-premises servers and Storage Replica performs block-level volume replication, neither of which is part of an Azure File Sync deployment, so both are correctly excluded from the sequence.

Disk1: 2. Disk2: 1.

The requirement is that data on SSPace1 must remain available at all times, meaning the storage pool ' s virtual disks must be able to tolerate physical disk failures without becoming unavailable or losing data. A three-way mirror keeps three copies of every block of data spread across different physical disks, so it remains available and readable even if any two of those disks fail simultaneously; the resiliency is fixed at tolerating two failures regardless of how many total disks (8, in Disk1 ' s case) make up the pool, as long as there are enough disks to support three-way mirroring, which eight comfortably provides. Disk2 uses parity resiliency, which stores a single parity block that can reconstruct data after one physical disk failure; unless dual parity is explicitly configured (which requires being set at virtual disk creation time and is not indicated here), a standard parity virtual disk tolerates only one physical disk failure before data becomes unavailable, regardless of the pool having twelve physical disks. Administrators sometimes assume more disks in a parity pool automatically means more fault tolerance, but the number of disks a parity space can lose is determined by the resiliency configuration (single vs. dual parity), not by the total disk count. Therefore Disk1 tolerates two disk failures and Disk2 tolerates one.

Task1 is an Azure Automation runbook, and Azure Automation supports a specific, limited set of runbook types: PowerShell (and PowerShell Workflow), Python, and Graphical runbooks (which are authored visually rather than in a scripting language). Of the listed options, PowerShell and Python are the two genuine scripting languages Azure Automation lets you author a runbook in directly, making them the two correct answers. Java and JavaScript are not supported runbook languages in Azure Automation; JavaScript is used elsewhere in Azure (for example, in Azure Functions or Logic Apps custom code), but not for Automation runbooks. Bicep is a domain-specific language for declaratively defining Azure infrastructure as code (compiling down to ARM templates) and has no role as an executable runbook language; you would not write a Task1 runbook in Bicep, since runbooks execute imperative logic rather than declare resource deployments. Therefore, Python and PowerShell are the two languages available for Task1.