Google Exam Professional-Cloud-Developer Topic 12 Question 96 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 96
Topic #: 12

[All Professional Cloud Developer Questions]

You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:

* Load is initiated from multiple parallel threads

* User traffic to the API originates from multiple source IP addresses.

* Load can be scaled up using additional test instances

You want to follow Google-recommended best practices How should you configure the load testing'?

ACreate an image that has cURL installed and configure cURLto run a test plan Deploy the image in a
managed instance group, and run one instance of the image for each VM.

BCreate an image that has cURL installed and configure cURL to run a test plan Deploy the image in an
unmanaged instance group, and run one instance of the image for each VM.

CDeploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy
additional Pods as needed to initiate more traffic and support the number of concurrent users.

DDownload the container image of a distributed load testing framework on Cloud Shell Sequentially start
several instances of the container on Cloud Shell to increase the load on the API.

Show Suggested Answer

Suggested Answer: C

by Wai at Sep 14, 2024, 10:39 PM

Limited Time Offer

25%

Off

Get Premium Professional-Cloud-Developer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Gertude

9 hours ago

I agree, C is the best choice. The ability to scale up the load testing pods as needed is really important for this use case.

upvoted 0 times

...

Brittni

12 days ago

I'm not sure about option D. Starting several instances of a container on Cloud Shell may not be as scalable as using GKE for load testing.

upvoted 0 times

...

Omega

13 days ago

I agree with Jospeh. Using a distributed load testing framework on GKE seems like the most efficient way to meet the requirements.

upvoted 0 times

...

Mauricio

13 days ago

Option C looks like the way to go here. A managed Kubernetes cluster will give us the scalability and control we need to handle the load.

upvoted 0 times

Sheridan

3 days ago

I agree, using a distributed load testing framework on a private Google Kubernetes Engine Cluster seems like the best option for this scenario.

upvoted 0 times

...

Corrinne

4 days ago

Option C looks like the way to go here. A managed Kubernetes cluster will give us the scalability and control we need to handle the load.

upvoted 0 times

...

Jospeh

29 days ago

I think option C is the best choice. It allows for scaling up the load testing using additional Pods on Google Kubernetes Engine.

upvoted 0 times

...