2V0-32.24 Question 153
Select 3An administrator notices that their vRealize Operations cluster is experiencing high latency and slow dashboard performance. Upon investigation, the administrator observes that memory consumption on all cluster nodes is consistently high. Which of the following actions should the administrator take to address this issue?
- A
Add additional data nodes to the vRealize Operations cluster to distribute the workload.
- B
Reduce the number of active metrics being collected by modifying the policy settings.
- C
Increase the number of CPU cores and memory allocated to each vRealize Operations node.
- D
Restart the vRealize Operations cluster to clear cached data and reset performance metrics.
- E
Disable the Dynamic Threshold feature to decrease resource utilization.
Show answer and explanation
Correct answers: A, B, C
Explanation
High memory consumption in a vRealize Operations cluster is typically caused by insufficient resources, excessive metric collection, or workload distribution issues. Adding additional nodes, reducing metric collection, and increasing resource allocation address the root causes of the problem. Restarting the cluster or disabling key features like Dynamic Thresholds can provide minimal or adverse effects and are not recommended solutions.
- A. Correct.
Adding additional data nodes can help distribute the workload more evenly across the cluster, reducing memory pressure on individual nodes.
- B. Correct.
Reducing the number of active metrics being collected can lower the overall resource consumption of the cluster and improve performance.
- C. Correct.
Increasing the resource allocation (CPU and memory) for the vRealize Operations nodes can directly address memory and processing constraints, improving performance.
- D. Incorrect.
Restarting the cluster may temporarily clear cached data, but it is not a long-term solution to high memory usage or performance issues.
- E. Incorrect.
Disabling the Dynamic Threshold feature is not recommended, as it is critical for anomaly detection and root cause analysis. It also does not significantly impact resource utilization compared to other factors.