Google Cloud Associate Cloud Engineer — Question 313

You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?

Answer options

• A. Assign the pods of the image rendering microservice a higher pod priority than the other microservices.
• B. Create a node pool with compute-optimized machine type nodes for the image rendering microservice. Use the node pool with general-purpose machine type nodes for the other microservices.
• C. Use the node pool with general-purpose machine type nodes for the image rendering microservice. Create a node pool with compute-optimized machine type nodes for the other microservices.
• D. Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment. Keep the resource requests for the other microservices at the default.

Correct answer: B

Explanation

The correct answer is B because creating a node pool with compute-optimized machine type nodes specifically for the image rendering microservice allows it to utilize CPU resources more effectively. The other microservices, which are optimized for n1-standard machine types, can continue to run efficiently on a separate node pool without the additional CPU overhead required by the image rendering service. Options A, C, and D do not address the need for a tailored node pool for CPU-intensive workloads.