Google Exam Professional-Cloud-Developer Topic 1 Question 79 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 79
Topic #: 1

[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 Eden at Apr 12, 2024, 04:02 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel

Jamika

5 hours ago

Hmm, I see what you mean about option D being simpler, but I'm not sure it would really meet all the requirements. Sequentially starting instances on Cloud Shell doesn't seem like it would give us the parallel threads and multiple IP addresses that the question calls for. I think C is still the way to go, even if it's a bit more complex.

upvoted 0 times

...

Iraida

6 hours ago

I'm with you on the GKE approach. That seems like the most flexible and scalable option here. Plus, we can leverage all the built-in monitoring and autoscaling features of Kubernetes to really dial in the load testing.

upvoted 0 times

...

Krystal

1 days ago

I'm a little hesitant about option C, though. Setting up a private GKE cluster just for load testing seems a bit overkill, don't you think? I'm wondering if option D might be a simpler solution - just use the distributed load testing framework container on Cloud Shell to get the job done.

upvoted 0 times

...

Lelia

2 days ago

Yeah, I agree that C seems like the best option. The requirements specifically mention needing to load test from multiple parallel threads and multiple source IP addresses. A managed instance group with cURL doesn't sound like it would give us that kind of flexibility.

upvoted 0 times

...

Madalyn

2 days ago

Haha, can you imagine trying to scale up the load by just starting more instances of the container in Cloud Shell? That's like trying to put out a forest fire with a squirt gun!

upvoted 0 times

...

Reyes

3 days ago

The Cloud Shell option sounds kind of janky to me. I can't imagine that would be a very reliable or robust way to load-test the API. I think we need to go with a more enterprise-grade solution here.

upvoted 0 times

...

Tresa

3 days ago

Whoa, this question is really tricky! I'm not sure exactly how to approach it, but I think option C might be the way to go. Using a distributed load testing framework on a private GKE cluster seems like it would give us the ability to scale up the load and simulate traffic from multiple IP addresses.

upvoted 0 times

...

Joye

4 days ago

Hmm, this is tricky. I'm not sure if I'd go with the cURL approach, since that seems a bit manual and not very scalable. I'm leaning towards the distributed load testing framework on GKE, but I'd need to do some more research to make sure that's the right approach.

upvoted 0 times

...

Nelida

6 days ago

I agree, this is a solid question. I think it's important to follow Google's best practices here, since they're the experts on Cloud Run and have a lot of experience with it.

upvoted 0 times

...

Oneida

8 days ago

This is a great question! I'm really interested to see how we can properly load-test these REST API endpoints on Cloud Run. The requirements around parallel threads, multiple source IP addresses, and scalability are all really important considerations.

upvoted 0 times

...