Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Google Professional Cloud DevOps Engineer Exam - Topic 1 Question 110 Discussion

Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?
D) Configure the Horizontal Pod Autoscaler and enable the cluster autoscaler
A) Configure the Vertical Pod Autoscaler but keep the node pool size static
B) Configure the Vertical Pod Autoscaler and enable the cluster autoscaler
C) Configure the Horizontal Pod Autoscaler but keep the node pool size static

Google Professional Cloud DevOps Engineer Exam - Topic 1 Question 110 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 110
Topic #: 1
[All Professional Cloud DevOps Engineer Questions]

Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: D

The best option for automating scaling by only running enough Pods and nodes for the load is to configure the Horizontal Pod Autoscaler and enable the cluster autoscaler. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. The cluster autoscaler is a feature that automatically adjusts the size of a node pool based on the demand for node capacity. By using both features together, you can ensure that your application runs enough Pods to handle the load, and that your cluster runs enough nodes to host the Pods. This way, you can optimize your resource utilization and cost efficiency.


Contribute your Thoughts:

0/2000 characters

Currently there are no comments in this discussion, be the first to comment!


Save Cancel