Google Professional Cloud Developer Question 285
Select 2Google Cloud PlatformYou are developing a high-performance web application hosted on Google Cloud. After deploying your application to Google Kubernetes Engine (GKE), you notice inconsistent response times during peak usage. You want to conduct performance testing to identify the bottleneck and optimize the application. Which actions should you take to effectively conduct performance testing in this scenario?
- A
Simulate user traffic at various scales using a tool like Apache JMeter or Locust.
- B
Enable Google Cloud's Error Reporting to monitor application errors during the test.
- C
Set up horizontal pod autoscaling in GKE before running the performance tests.
- D
Analyze metrics from Cloud Monitoring to identify CPU, memory, and network bottlenecks.
- E
Use Cloud Spanner to store performance test logs for real-time analysis.
Show answer and explanation
Correct answers: A, D
Explanation
Effective performance testing involves simulating user traffic to evaluate the application's behavior under load and analyzing system metrics to identify bottlenecks. Tools like Apache JMeter or Locust are suitable for generating load, while Cloud Monitoring provides detailed insights into resource utilization. These steps help isolate and diagnose performance issues for optimization.
- A. Correct.
Simulating user traffic using a load-testing tool like Apache JMeter or Locust is a key step in performance testing. This helps you stress the application and observe its behavior under different levels of load.
- B. Incorrect.
While Error Reporting is useful for monitoring application errors, it does not directly aid in conducting performance testing. It is more of a reactive tool for debugging.
- C. Incorrect.
Setting up horizontal pod autoscaling is an optimization step rather than a performance testing step. Performance testing should be conducted under controlled conditions without introducing autoscaling to isolate bottlenecks.
- D. Correct.
Analyzing metrics from Cloud Monitoring allows you to identify resource-related bottlenecks such as CPU, memory, or network constraints, which are critical for diagnosing performance issues.
- E. Incorrect.
Cloud Spanner is a globally distributed database, and while it is powerful, it is not designed for storing performance test logs. Logs can be stored more efficiently in tools like Cloud Logging.