Google Professional Cloud Developer Question 287
Select 3Google Cloud PlatformYou are a Cloud Developer responsible for optimizing a web application deployed on Google Kubernetes Engine (GKE). You need to conduct performance testing to identify potential bottlenecks. Which of the following steps should you take to ensure a comprehensive performance testing process?
- A
Simulate user traffic using a load testing tool like Locust or JMeter.
- B
Perform the tests only during non-peak hours to avoid disrupting users.
- C
Monitor application and infrastructure metrics using tools such as Cloud Monitoring and Cloud Trace.
- D
Test with a variety of traffic patterns, including both expected and edge-case scenarios.
- E
Focus exclusively on testing the application frontend for user experience.
Show answer and explanation
Correct answers: A, C, D
Explanation
To conduct effective performance testing, you must simulate realistic user traffic, monitor relevant metrics, and test with a variety of traffic patterns. These steps ensure a well-rounded understanding of the application's performance under different conditions. Avoid limiting tests to specific times or components, as this can lead to an incomplete evaluation.
- A. Correct.
Simulating user traffic using a load testing tool is essential for identifying performance bottlenecks under realistic conditions. It helps measure response times, scalability, and throughput.
- B. Incorrect.
Conducting tests only during non-peak hours might limit the insights into real-world performance under actual usage conditions. You should also test during peak hours or simulate peak traffic to capture realistic bottlenecks.
- C. Correct.
Monitoring application and infrastructure metrics during tests is crucial for diagnosing issues such as CPU bottlenecks, memory leaks, and database latency.
- D. Correct.
Testing with a variety of traffic patterns ensures that the application can handle both normal and unexpected usage scenarios, providing a more comprehensive performance evaluation.
- E. Incorrect.
Focusing exclusively on the frontend ignores performance issues that could arise in the backend or infrastructure, such as database performance or API response times. Comprehensive testing requires evaluating the entire stack.