CompTIA
CV0-003 · Question #306
CV0-003 Question #306: Real Exam Question with Answer & Explanation
The correct answer is B: Access the cloud services portal and check the amount of CPU and RAM on the host machine.. When VM-level metrics appear healthy, performance issues often stem from physical host resource contention, making it necessary to examine the underlying host machine's CPU and RAM utilization.
Troubleshooting
Question
IaaS users are reporting longer than expected wait times when accessing the virtual file repository. There are more than 2TB of free disk space, and vCPU and vRAM do not reach more than 75% utilization. In which of the following ways should the cloud systems administrator analyze this issue?
Options
- AAccess the cloud services portal and increase the amount of available disk space by 25%.
- BAccess the cloud services portal and check the amount of CPU and RAM on the host machine.
- CAccess the cloud services portal and look at the historical performance numbers.
- DAccess the cloud services portal and check the security log for access denied requests.
Explanation
When VM-level metrics appear healthy, performance issues often stem from physical host resource contention, making it necessary to examine the underlying host machine's CPU and RAM utilization.
Common mistakes.
- A. Increasing disk space will not resolve a performance bottleneck when over 2TB of free space already exists; storage capacity is not the limiting factor.
- C. Reviewing historical performance numbers is a useful investigative step but does not directly identify the root cause; it describes when the problem appeared, not what is causing it.
- D. Checking security logs for access denied requests addresses authorization failures, not performance degradation, and is unrelated to the slow file repository access being reported.
Concept tested. Host-level resource contention analysis in IaaS environments
Reference. https://learn.microsoft.com/en-us/azure/virtual-machines/monitor-vm
Topics
#performance monitoring#IaaS storage#historical metrics#resource utilization
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