Discover the power of super metrics in VMware vRealize Operations. Learn which options can be applied as super metrics to enhance your monitoring and analytics capabilities.
Table of Contents
Question
Which two options can be applied as a super metric? (Choose two.)
A. The average CPU usage of VMs within a Datacenter
B. The difference of CPU utilization for each VM between two defined time stamps
C. String operators that are valid to be used with mathematical calculations in a function
D. Count of Non-Windows VMs in a vSphere cluster
E. The average SCSI count with disk size of VMs within an ESXi host
Answer
A. The average CPU usage of VMs within a Datacenter
D. Count of Non-Windows VMs in a vSphere cluster
Explanation
Super metrics in VMware vRealize Operations allow you to perform advanced calculations and aggregations across multiple objects and metrics. From the given options, the two that can be applied as super metrics are:
A. The average CPU usage of VMs within a Datacenter
This super metric calculates the average CPU utilization of all virtual machines within a specific datacenter. It aggregates the CPU usage metric across multiple VMs to provide a high-level overview of the datacenter’s CPU performance.
D. Count of Non-Windows VMs in a vSphere cluster
This super metric counts the number of virtual machines in a vSphere cluster that are not running the Windows operating system. It filters the VMs based on their guest OS and returns the count of non-Windows VMs, offering insights into the distribution of different operating systems within the cluster.
The other options, such as the difference of CPU utilization between two time stamps, string operators in functions, and the average SCSI count with disk size, cannot be directly applied as super metrics in vRealize Operations.
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