You have two Azure virtual machines (VMs): VM1 is Standard_D2s_v3 with 2 vCPUs and 8 GB RAM, VM2 is Standard_D4s_v3 with 4 vCPUs and 16 GB RAM. Both run the same workload, but VM2 costs roughly twice as much per hour.
Which statement best explains the right-sizing principle for these VMs?
Think about balancing cost and performance based on actual workload needs.
Right-sizing means choosing resources that fit the workload requirements to avoid overpaying for unused capacity or underperforming due to insufficient resources.
You monitor an Azure VM and see the following average CPU utilization over a week: 5%. Memory usage is 30%. Disk I/O and network traffic are low.
Which action best reflects right-sizing this VM?
Low CPU and memory usage suggest the VM might be larger than needed.
Low resource utilization indicates the VM is overprovisioned. Downsizing saves cost without impacting performance.
You design an Azure web app expected to have variable traffic. You want to ensure right-sizing while maintaining performance and cost efficiency.
Which architecture best supports this goal?
Consider how Azure services can automatically adjust resources based on demand.
Azure App Service with auto-scaling adjusts resources dynamically, ensuring right-sizing and cost efficiency during traffic changes.
What is a potential security risk of keeping overprovisioned Azure resources running unnecessarily?
Think about how more resources can affect exposure to threats.
More active resources mean more potential entry points for attackers, increasing the attack surface.
You right-size several Azure VMs by downsizing them after monitoring usage. After one month, what change will you most likely see in Azure Cost Management reports?
Consider how VM size affects billing in Azure.
Azure bills VMs based on size and usage duration. Downsizing reduces compute costs visible in cost reports.