C1000-141 · Question #2
What is a key metric that should be monitored in Red Hat OpenShift for Maximo Manage?
The correct answer is C. Pod resource usage. Pod resource usage (C) is the correct answer because OpenShift runs Maximo Manage as containerized workloads, and pods are the fundamental execution units. Monitoring CPU, memory, and storage consumption at the pod level is essential for detecting performance degradation…
Question
What is a key metric that should be monitored in Red Hat OpenShift for Maximo Manage?
Options
- AThe number of active user sessions
- BThe volume of transaction logs
- CPod resource usage
- DThe rate of successful login attempts
How the community answered
(20 responses)- A5% (1)
- C85% (17)
- D10% (2)
Explanation
Pod resource usage (C) is the correct answer because OpenShift runs Maximo Manage as containerized workloads, and pods are the fundamental execution units. Monitoring CPU, memory, and storage consumption at the pod level is essential for detecting performance degradation, preventing out-of-memory crashes, and ensuring Maximo's application servers and databases are operating within healthy bounds.
Why the distractors are wrong:
- A (Active user sessions) is an application-level metric tracked within Maximo itself, not a core OpenShift infrastructure concern.
- B (Transaction logs) relates to database-level auditing and is not a primary OpenShift cluster health indicator.
- D (Login attempt rate) is a security/authentication metric relevant to access control, not OpenShift operational monitoring.
Memory tip: Think "OpenShift owns the pods" - when troubleshooting Maximo on OpenShift, always start with pod health (resource usage, restarts, status) because everything Maximo does runs inside pods. If pods are starved or crashing, nothing else matters.
Topics
Community Discussion
No community discussion yet for this question.