Free VMware 2V0-11.25 Actual Exam Questions - Question 10 Discussion
During a routine check, an administrator observes that several VMs are reporting high memory usage in VMware Aria Operations. They need to verify if the high memory usage is due to memory contention. What actions should be taken in VMware Aria Operations to verify this?
Makes sense to check ballooning since it’s a direct symptom of memory contention, so I’d go with C on this one. CPU ready time (A) doesn’t really relate to memory issues.
C/A? Ballooning definitely points to memory contention, so C is a solid pick. But I’d still check CPU ready time (A) just in case the issue is CPU-related instead of memory. Network and storage metrics don’t make sense here since they don’t show memory pressure. So focusing on C with a quick look at A seems like a good call.
C. Ballooning is a direct indicator of memory contention, so checking both memory usage and ballooning metrics is the most straightforward way to confirm this. CPU ready time (A) relates to CPU scheduling delays, not memory pressure, and network or storage metrics (B and D) don’t reflect memory issues at all. Even if you want to double-check, focusing on memory-specific stats in Aria Operations is the way to go here.
C is the only one directly tied to memory contention, so it’s the best check here.
C imo since ballooning is directly related to memory contention, it’s the most reliable metric to check here. CPU ready or network data won’t really tell you anything about memory pressure.
C/A? Ballooning is a clear sign of memory contention, but checking CPU ready time could help rule out CPU as the cause of performance issues. Network and storage stats won’t really show memory pressure.
Option C makes the most sense since ballooning directly shows if memory pressure is forcing the hypervisor to reclaim memory. CPU ready time or network throughput won’t tell you about memory contention.
Makes sense to check C here as ballooning is a direct indicator of memory contention. Another angle is A, but that’s more about CPU scheduling delays, not memory. Definitely not B or D since network and storage I/O don’t show memory pressure specifically. So C is the best fit to confirm if memory contention is the culprit.
C/D? While ballooning clearly points to memory contention, I think analyzing storage I/O performance (D) might help if the VM is swapping due to memory pressure. High swap activity can also indicate memory contention issues. CPU ready time (A) and network throughput (B) don’t directly relate here, so those can be ruled out. But primarily, checking ballooning and memory usage (C) seems most on point.
It’s C. Checking memory usage and ballooning metrics helps spot if memory contention is causing the high usage, not CPU or network stuff.