Google Exam Professional Cloud Developer Topic 7 Question 46 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 46
Topic #: 7

[All Professional Cloud Developer Questions]

You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions persecond while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?

ABuild a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.

BCreate a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.

CCreate a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions perminute for 10minutes. Analyze the results using Cloud Monitoring.

DCreate a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.

Show Suggested Answer

Suggested Answer: B

https://cloud.google.com/architecture/distributed-load-testing-using-gke

by Myra at May 05, 2022, 02:11 AM

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Virgie

12 days ago

Wait, can Cloud Run actually handle that many transactions?

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Weldon

17 days ago

D? Really? A LAMP stack for this? Seems outdated.

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Dominga

23 days ago

C seems a bit overkill for just 10 minutes of testing.

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Sharen

28 days ago

I think A is better for analyzing VPC Flow Logs.

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Monroe

1 month ago

Option B sounds solid for dynamic load testing!

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Sylvia

1 month ago

I feel like option D is a bit outdated with using a LAMP stack and Apache Bench. I’m not confident it would scale well for the required transactions.

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Oretha

1 month ago

Option C might be a good approach since it mentions Cloud Tasks and Cloud Scheduler, but I’m not clear on how to analyze the results with Cloud Monitoring.

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Tamar

1 month ago

I remember discussing load testing tools like Locust and JMeter, so option B seems like a solid choice, but I’m a bit unsure about how to set up the Kubernetes cluster for that.

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Carin

1 month ago

I think option A sounds familiar since we talked about using VPC Flow Logs in our last practice session, but I'm not sure if it can handle the load testing effectively.

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Glenn

1 month ago

I'm a little confused by this question. I know there are techniques to compress the schedule, but I can't recall the specific one that allows parallel activities. I'll have to review my notes and see if I can figure this out.

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Levi

1 month ago

This seems like a straightforward question about configuration management. I'll need to carefully consider the options and think through the likely scenarios.

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Carma

1 month ago

Could it be a Package Release? It sounds familiar, but I'm still leaning towards Full Release since it mentions testing.

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Paz

2 months ago

I'm a little confused on the difference between the Responsible (R) and Accountable (A) roles. I'll have to review my notes to make sure I understand which one is the driver.

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