Google Professional Cloud Developer Question 294
Select 3Google Cloud PlatformYou are developing a cloud-based e-commerce application hosted on Google Kubernetes Engine (GKE). The application is expected to experience high traffic during seasonal sales, and you want to ensure it can handle the load effectively. To prepare, you decide to perform load testing. Which steps should you take to perform a successful load test using Google Cloud tools?
- A
Use Cloud Monitoring to define performance metrics such as response time and error rate before starting the load test.
- B
Deploy a load testing tool like Locust or Apache JMeter on a Compute Engine instance or GKE to simulate traffic.
- C
Use Cloud Storage to store the results of the load test for analysis.
- D
Scale your application to its maximum capacity manually before starting the load test to avoid downtime.
- E
Analyze logs and metrics during and after the test using Cloud Logging and Cloud Monitoring.
Show answer and explanation
Correct answers: A, B, E
Explanation
Load testing on Google Cloud involves simulating traffic with tools like Locust or JMeter, defining performance metrics using Cloud Monitoring, and analyzing logs and metrics with Cloud Logging and Cloud Monitoring. These steps help ensure the application can handle expected loads without manually scaling it preemptively, as autoscaling should be evaluated as part of the test.
- A. Correct.
Correct. Defining performance metrics using Cloud Monitoring is crucial to determine the success criteria and track the application's behavior under load.
- B. Correct.
Correct. Tools like Locust or Apache JMeter can simulate high traffic loads, and deploying them on GCP resources like Compute Engine or GKE ensures scalability.
- C. Incorrect.
Incorrect. While Cloud Storage is useful for storing data, it is not specifically needed for storing load test results, as metrics and logs are better analyzed using Cloud Monitoring and Cloud Logging.
- D. Incorrect.
Incorrect. Manually scaling to maximum capacity before testing defeats the purpose of understanding how your application autoscaling behaves under load.
- E. Correct.
Correct. Using Cloud Logging and Cloud Monitoring to analyze metrics and logs during and after the test helps identify bottlenecks and validate system performance.