2V0-32.24 Question 160
Select 3You are troubleshooting a performance issue with vRealize Suite Lifecycle Manager (vRSLCM). Users report slow response times when accessing the vRSLCM interface. Upon investigation, you identify that the appliance's CPU usage is consistently over 90%. Which of the following steps should you take to resolve this issue?
- A
Increase the CPU and memory resources allocated to the vRSLCM appliance.
- B
Verify that the vRSLCM appliance is using the correct NTP configuration.
- C
Check for active snapshots of the vRSLCM appliance and delete any unnecessary ones.
- D
Upgrade the vRSLCM appliance to the latest supported version.
- E
Analyze the workload distribution across the vRSLCM nodes in a clustered deployment.
Show answer and explanation
Correct answers: A, C, E
Explanation
High CPU usage in vRSLCM can result from under-provisioned resources, excessive snapshots, or workload imbalances. Allocating additional CPU and memory can address resource constraints, while deleting snapshots reduces performance overhead. In clustered deployments, redistributing workloads can ensure optimal performance. The other options, while beneficial in other scenarios, do not directly address the high CPU usage issue in this case.
- A. Correct.
Increasing the CPU and memory resources can help resolve high CPU usage and improve performance, especially if the appliance is under-provisioned based on its workload.
- B. Incorrect.
While incorrect NTP configuration can cause time synchronization issues, it is unlikely to directly result in high CPU usage or performance degradation.
- C. Correct.
Snapshots can impact appliance performance significantly, especially if they have been retained for a long time. Removing unnecessary snapshots can help resolve performance issues.
- D. Incorrect.
Upgrading to the latest version is a good practice for feature updates and stability, but it does not directly address the specific high CPU usage issue in this scenario.
- E. Correct.
If vRSLCM is deployed in a clustered configuration, analyzing workload distribution can help identify imbalances contributing to high CPU usage and allow you to redistribute workloads effectively.