C is the correct answer, as the Storage Controller Bandwidth metric is related to MB/sec, whereas VM Storage Controller IOPS is just count/sec, no data amount.
A and D metrics are not related to VMs
I am leaning to B as the question mentioned about reading and writing which IOPS has IO reading/writing, but bandwidth is just in general the amount of throughput/amount of data going thru at a certain time but not separate reading/writing like IOPS
C is the correct answer.
According to the below “Performance Metrics of a Nutanix VM Monitor” documentation, the two available Metrics are “Controller IOPS” and “Controller I/O Bandwidth”
Let's assume we have two VMs and both are consuming 10,000 IOPS. In that case, I would immediately look at the I/O Bandwidth metric to know which one of these two VMs consume more data.
Generally, I always look at IOPS as half of the truth, I have to put into perspective the Bandwidth used or the throughput to have full view of what is happening on my storage devices.
There are two graphs under the Metrics tab; Storage Controller IOPS and Storage Controller I/O Bandwidth. For this question, I would answer Storage Controller IOPS, simply because "Storage Controller Bandwidth" isn't quite the exact name.
Both Answers B & C are Valid, the IOPS mean the number of Operations Per Second, to calculate the bandwidth we need to multiply the IO * the Block Size.
for the controller bandwidth it tell us the answer of the question (the amount of data ...)
B is the answer.
Bandwidth is the size of the pipe. ie; I have a 100mbit network connection. This does not talk about the amount of data been utilized by the VM or its activity on the network.
IOPs on the other hand are the input / output operations per second. ie; how much data is been read and written based on the amount of operations.
I think is B
IOPS=Input/Output operations per second from disk.
Bandwith=Data transferred per second in KB/second from disk.
https://portal.nutanix.com/page/documents/details?targetId=Web-Console-Guide-Prism-v6_6:wc-analysis-metrics-r.html
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