Observability CV0-004 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   An application on a cloud VM is experiencing high CPU usage during peak hours. The monitoring data shows that the application is single-threaded and the VM has multiple vCPUs. Which optimization technique would most effectively improve performance?

   • AMove the application to a different region.
   • BScale up the VM to a larger size with more vCPUs.
   • COptimize the application code to use multiple threads.
   • DIncrease the VM's memory.
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A cloud VM is running an application that processes batch jobs. The monitoring data shows that the VM's CPU usage is low, but the disk I/O wait time is consistently high. Users report that batch jobs are taking longer than expected. Which metric is most likely indicating the bottleneck?

   • ANetwork latency
   • BCPU usage
   • CMemory utilization
   • DDisk I/O wait time
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A company uses multiple cloud providers and wants a single dashboard to monitor metrics from all of them. The team needs to aggregate metrics from different providers and set up alerts across all resources. Which tool should they choose?

   • AA spreadsheet that manually collects metrics from each provider's console.
   • BA third-party monitoring platform that supports multi-cloud integrations.
   • CA custom script that pulls metrics from each provider and stores them in a database.
   • DThe native monitoring service of one cloud provider.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   A cloud administrator wants to be notified immediately when CPU usage on a critical server exceeds 85% for more than five minutes. What should be configured?

   • AAn alert rule
   • BA scheduled report
   • CA load balancer
   • DA capacity plan
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A company's cloud monitoring data shows that web server CPU usage follows a predictable pattern: it peaks at 80% every weekday at 10 AM and drops to 20% at night. The company wants to ensure consistent performance during peak hours without over-provisioning resources. Based on this analysis, what should the operations team do?

   • AReboot the servers daily before the peak to clear memory.
   • BSet up an alert to notify the team when CPU exceeds 80%.
   • CIncrease the VM size permanently to handle the peak load.
   • DImplement auto-scaling that adds capacity during the peak period and removes it afterward.
   Reveal Solution Discussion Select an answer first