Resource Optimization CV0-004 Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A company runs a web application on a group of identical VMs in a single cloud region. The application experiences uneven load distribution, with some VMs heavily utilized while others sit mostly idle. The administrator wants to ensure all VMs are used efficiently and the application remains responsive. What should the administrator do?

   • AMove the application to a single larger VM to simplify management.
   • BPlace all VMs behind a load balancer that distributes traffic based on the least-connections algorithm.
   • CIncrease the size of the heavily utilized VMs to handle more traffic.
   • DConfigure a round-robin DNS record that cycles through the VM IP addresses.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   What is the goal of right-sizing cloud resources?

   • ATo match resource capacity to actual workload requirements
   • BTo eliminate the need for monitoring
   • CTo maximize the number of virtual machines
   • DTo always use the smallest instance type available
   Reveal Solution Discussion Select an answer first
4. 28expert · hard

   A company runs a critical database on a VM that is sized for peak load. Monitoring shows CPU utilization averages 30% but memory utilization averages 85%, with occasional spikes to 95% memory. The application is latency-sensitive and cannot tolerate downtime. The administrator must reduce costs while ensuring the database never runs out of memory. What should the administrator do?

   • AMove the database to a serverless database service to eliminate VM management.
   • BReduce the VM size to lower both CPU and memory, and enable swap space to handle memory spikes.
   • CRight-size the VM to a smaller CPU but larger memory instance type to match the actual resource profile.
   • DKeep the current VM size but enable autoscaling to add a second VM when memory exceeds 80%.
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A company runs a batch-processing application on a fleet of cloud VMs. Monitoring shows CPU utilization averages 15% and memory utilization averages 20% over the past month, with occasional short spikes to 60% CPU. The application is not latency-sensitive and can tolerate brief delays. The company wants to reduce costs without significantly impacting performance. What should the administrator do first?

   • AIncrease the VM size to handle the spikes more efficiently and avoid any potential performance degradation.
   • BMigrate the application to a serverless function that runs on each spike.
   • CRight-size the VMs to a smaller instance type that still meets the average utilization, and enable autoscaling to handle the spikes.
   • DKeep the current VM size but enable a savings plan to get a discount on the existing instances.
   Reveal Solution Discussion Select an answer first
6. 30expert · hard

   A company runs a web application that has predictable peak traffic during business hours and low traffic at night. The application is deployed on a fixed number of VMs sized for peak load. The company wants to reduce costs, but the application must remain highly available and cannot tolerate downtime. The administrator is considering two options: (1) implement scheduled autoscaling to reduce the number of VMs at night, or (2) purchase reserved instances for the base load and use on-demand instances for the peak. Which option is more cost-effective and why?

   • ABoth options are equally cost-effective because they both reduce the number of VMs.
   • BOption 1, because it reduces the number of running VMs during off-peak hours, directly lowering compute costs.
   • CNeither option is cost-effective because the application must remain highly available.
   • DOption 2, because reserved instances are always cheaper than on-demand, so the total cost will be lower.
   Reveal Solution Discussion Select an answer first