Use Monitoring Tools to Maintain Uptime for Critical AI Workloads POWEREDGE-XE-OPERATE Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   An organization wants to ensure that all Dell PowerEdge XE servers are running the same approved firmware and driver versions to maintain stability for AI workloads. Which feature in OpenManage Enterprise allows administrators to compare current versions against a baseline?

   • ACompliance baselines
   • BInventory reports
   • CMaintenance windows
   • DAlert policies
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   A Dell PowerEdge XE server is experiencing random reboots. The administrator wants to collect and analyze system logs to identify any errors or warnings that occurred just before each reboot. Which tool can be used to collect and review these logs from multiple servers?

   • AiDRAC
   • BOpenManage Enterprise
   • CTask Manager
   • DDevice Manager
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A company runs a critical AI inference service on a PowerEdge XE server. They want to be alerted before a hardware failure occurs so they can replace the component during a scheduled maintenance window. Which feature should they enable?

   • APredictive failure analysis in iDRAC, with alerts configured for predicted failures.
   • BReal-time performance monitoring of CPU and GPU utilization.
   • CSystem event log collection and daily review.
   • DAutomatic system recovery to reboot the server on failure.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   An administrator notices that a Dell PowerEdge XE server is intermittently failing to respond. To identify the root cause, the administrator needs to review system events that occurred before the failures. Which type of log should be examined first?

   • ASecurity log
   • BSetup log
   • CSystem event log (SEL)
   • DApplication log
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   An AI company is experiencing random GPU errors during training. They have verified that the hardware is healthy and the workload is not overloading the GPU. They suspect a firmware bug. What should they do to resolve this issue?

   • AUpdate the GPU firmware to the latest stable version using iDRAC or OpenManage Enterprise.
   • BDisable the GPU's error correction features to prevent the errors from being reported.
   • CReplace the GPU with a new one.
   • DIncrease the GPU fan speed to improve cooling and reduce errors.
   Reveal Solution Discussion Select an answer first