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Question 156 - Professional Cloud Developer discussion

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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?

A.
Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
Answers
A.
Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
B.
Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
Answers
B.
Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
C.
Create 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.
Answers
C.
Create 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.
D.
Create 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.
Answers
D.
Create 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.
Suggested answer: B

Explanation:

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

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asked 18/09/2024
PKE Holding AG Leitgeb
33 questions
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