Google Professional Cloud Developer Question 69
Select 3Google Cloud PlatformYou are developing a cloud-native application on Google Cloud and have noticed that the application is incurring high costs due to underutilized resources. Which of the following actions can help optimize both cost and resource utilization in this scenario?
- A
Use preemptible virtual machines (VMs) for batch processing workloads.
- B
Enable autoscaling for Compute Engine managed instance groups.
- C
Switch to a higher machine type to ensure better performance.
- D
Use Cloud Monitoring to identify and delete idle resources.
- E
Run workloads on dedicated instances to minimize resource contention.
Show answer and explanation
Correct answers: A, B, D
Explanation
Cost and resource optimization in Google Cloud involves using strategies like preemptible VMs for cost-sensitive workloads, autoscaling to match demand, and monitoring to identify and eliminate idle resources. These approaches ensure that you are not over-provisioning or paying for unused resources, which minimizes costs while maintaining efficiency.
- A. Correct.
Using preemptible VMs is a cost-effective option for workloads that are fault-tolerant and can handle interruptions, reducing overall costs without significant impact on resource utilization.
- B. Correct.
Enabling autoscaling allows your application to dynamically adjust the number of instances based on demand, ensuring that resources are not over-provisioned during periods of low usage.
- C. Incorrect.
Switching to a higher machine type may improve performance but can increase costs significantly. This option does not directly optimize costs or resource utilization in most scenarios.
- D. Correct.
Cloud Monitoring can help identify idle or underutilized resources, which can then be shut down or optimized to reduce unnecessary spending.
- E. Incorrect.
Running workloads on dedicated instances ensures predictable performance but is typically more expensive and does not help optimize costs or resource utilization for most applications.