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220-1102 · Question #401

A developer's Type 2 hypervisor is performing inadequately when compiling new source code. Which of the following components should the developer upgrade to improve the hypervisor's performance?

The correct answer is A. Amount of system RAM. To improve a Type 2 hypervisor's performance when compiling source code, increasing the amount of system RAM is the most effective upgrade. Compiling is a memory-intensive task, and insufficient RAM can lead to excessive paging and slow performance for both the host and guest OS.

Virtualization and cloud computing

Question

A developer's Type 2 hypervisor is performing inadequately when compiling new source code. Which of the following components should the developer upgrade to improve the hypervisor's performance?

Options

  • AAmount of system RAM
  • BNIC performance
  • CStorage IOPS
  • DDedicated GPU

How the community answered

(36 responses)
  • A
    92% (33)
  • B
    3% (1)
  • D
    6% (2)

Why each option

To improve a Type 2 hypervisor's performance when compiling source code, increasing the amount of system RAM is the most effective upgrade. Compiling is a memory-intensive task, and insufficient RAM can lead to excessive paging and slow performance for both the host and guest OS.

AAmount of system RAMCorrect

Compiling source code requires significant memory to load the compiler, source files, and generate intermediate and output files efficiently. Insufficient RAM on the host system or allocated to the virtual machine can cause the system to rely heavily on slower disk-based swap space, leading to a substantial performance bottleneck for the Type 2 hypervisor and its guest OS.

BNIC performance

NIC performance primarily affects network-bound operations, not local CPU or memory-intensive tasks like code compilation.

CStorage IOPS

While storage IOPS can impact compilation speed if I/O is a bottleneck, RAM is generally a more critical factor for compilation workloads on a hypervisor, as memory contention often forces more disk I/O.

DDedicated GPU

A dedicated GPU is primarily for graphics processing and computations, which is typically not a bottleneck for general source code compilation.

Concept tested: Hypervisor resource allocation for performance

Source: https://docs.vmware.com/en/VMware-Workstation-Pro/17/com.vmware.ws.using.doc/GUID-4FF6507A-EBB8-40F5-985B-382903AE2D29.html

Topics

#Virtualization performance#Resource allocation#RAM#Type 2 hypervisor

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