Metrics for Identifying Performance Issues: VM Users and Network Congestion
Question
A client recently added 100 users who are using VMs.
All users have since reported slow or unresponsive desktops.
Reports show minimal network congestion, zero packet loss, and acceptable packet delay.
Which of the following metrics will MOST accurately show the underlying performance issues? (Choose two.)
Answers
Explanations
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A. B. C. D. E. F.AB.
The given scenario describes a situation where 100 new virtual machines (VMs) have been added to the client's network, and users are experiencing slow or unresponsive desktops. To diagnose the underlying performance issues, we need to consider various performance metrics that can affect the performance of the VMs and the network as a whole.
Out of the given options, the two most relevant metrics that can help diagnose the issue are:
A. CPU Usage: The CPU is the central processing unit of a computer that performs all the calculations and instructions. In the given scenario, adding 100 new VMs means that the existing server's CPU has to process the additional load of all the VMs. If the CPU is overburdened, it may not be able to handle all the requests from the VMs, resulting in slow or unresponsive desktops. Therefore, monitoring the CPU usage of the server hosting the VMs can help diagnose the issue.
E. Latency: Latency is the amount of time it takes for a packet to travel from one endpoint to another on a network. In the given scenario, since reports show minimal network congestion, zero packet loss, and acceptable packet delay, it is unlikely that the issue is caused by bandwidth. However, the latency of the network can still affect the performance of the VMs. If the latency is too high, it can cause delays in delivering data to and from the VMs, resulting in slow or unresponsive desktops. Therefore, monitoring the latency of the network can help diagnose the issue.
The other options, B. Memory, C. Temperature, D. Bandwidth, and F. Jitter, may not be the most accurate metrics to diagnose the issue in this scenario. Memory may be a concern if there is not enough RAM available to support the additional VMs, but it is unlikely to be the root cause of the issue. Temperature is not relevant to the given scenario since it does not affect the performance of the VMs or the network. Bandwidth and Jitter may also not be the primary concern since the reports show minimal network congestion and acceptable packet delay.
In conclusion, to diagnose the underlying performance issues, monitoring the CPU usage of the server hosting the VMs and the latency of the network can be the most accurate metrics in this scenario.
