Question 1
Link to questionIn a corporate environment, a technician is tasked with setting up a virtualized server infrastructure to host multiple applications. The technician must ensure that the virtual machines (VMs) can efficiently share resources while maintaining isolation and security. Given the following requirements: each VM should have a minimum of 2 GB of RAM, and the total RAM available on the physical server is 32 GB. If the technician plans to allocate 1 GB of RAM for the hypervisor, how many VMs can be effectively deployed without exceeding the physical memory limit? Additionally, what virtualization technology would best support dynamic resource allocation and management for these VMs?
15 VMs with a hypervisor that supports dynamic resource allocation
16 VMs with a hypervisor that requires static resource allocation
14 VMs with a hypervisor that supports dynamic resource allocation
13 VMs with a hypervisor that requires static resource allocation
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Correct answer
15 VMs with a hypervisor that supports dynamic resource allocation
\\[ 32 \\text{ GB} - 1 \\text{ GB} = 31 \\text{ GB} \\] Each VM requires a minimum of 2 GB of RAM. Therefore, the maximum number of VMs that can be deployed is calculated by dividing the available RAM for VMs by the RAM required per VM: \\[ \\text{Number of VMs} = \\frac{31 \\text{ GB}}{2 \\text{ GB/VM}} = 15.5 \\] Since we cannot have a fraction of a VM, we round down to 15 VMs. Now, regarding the virtualization technology, dynamic resource allocation is crucial in environments where workloads can fluctuate. Hypervisors that support dynamic resource allocation, such as VMware vSphere or Microsoft Hyper-V, allow for the adjustment of resources based on the current demand of the VMs. This capability is essential for optimizing performance and ensuring that applications have the necessary resources when needed, without over-provisioning and wasting physical resources. In contrast, hypervisors that require static resource allocation do not allow for such flexibility, which can lead to inefficiencies, especially in environments with variable workloads. Therefore, the best choice for this scenario is to deploy 15 VMs using a hypervisor that supports dynamic resource allocation, ensuring both efficient resource use and the ability to adapt to changing demands.
