Refer to the exhibit.
An administrator is reviewing performance of a core banking system that routinely has 20,000 concurrent users. During business hours, the CPU on the applications servers runs at close to 100%. The administrator needs to determine if there is a performance issue specific to the app servers, the database servers, or all servers on the cluster.
Which metrics should the administrator review in Prism Analytics Graphs?
To accurately determine the performance issues on the core banking system, it's important to review a comprehensive set of metrics. You should look at Cluster IO to understand the input/output processes, Cluster CPU to analyze the total CPU usage across the cluster, Memory to check if there is high memory usage alongside the high CPU usage, and also the specific CPU usage of both Database and App Servers to pinpoint if the issue is local to these servers or if it affects the entire cluster. This will help in identifying if the performance bottleneck is isolated to a particular component or spread across various resources.
I feel that is C
It's B, the question did not state high memory usage
B does not contain CPU which is one of the issues the question is talking about
??? B. Cluster IO, Network, Database and App Server CPU
B does not include CPU of the cluster, only CPU of the DB and App servers. Question asks for a check to see if the CPU issue is for all servers on the cluster.
i think D
D does not contain the Database server CPU
The correct answer is C.
I think B is the answer. No mention of memory
the entire application needs to be check which includes the DB backend
Correct Answer is C, question specifically asks to check the DB server, plus network would not be a factor on 10GB nics