Google Professional Cloud Developer exam dumps

Google Professional Cloud Developer practice question 288 of 481

Professional Cloud Developer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud Developer Question 288

Select 3Google Cloud Platform

You are developing a high-traffic e-commerce application hosted on Google Cloud. To ensure the application scales effectively under heavy loads, you want to conduct performance testing. Which of the following are best practices for performance testing in Google Cloud?

  1. A

    Use Cloud Monitoring to collect and analyze system metrics during the test.

  2. B

    Simulate production-like traffic by leveraging tools such as Cloud Load Testing or JMeter.

  3. C

    Perform testing only during off-peak hours to avoid impacting application users.

  4. D

    Test both the application and underlying infrastructure, including auto-scaling configurations.

  5. E

    Avoid including third-party APIs in your tests to isolate internal application performance.

Show answer and explanation

Correct answers: A, B, D

Explanation

Performance testing in Google Cloud requires a comprehensive approach that mirrors real-world conditions. Best practices include leveraging Google Cloud tools like Cloud Monitoring for metrics collection, simulating production-like traffic, and ensuring that all components of your application and infrastructure are tested. Avoiding peak-hour testing or excluding critical dependencies, like third-party APIs, can lead to incomplete or misleading results.

  • A. Correct.

    Using Cloud Monitoring is essential for collecting metrics like CPU usage, memory usage, and latency during the test. This helps identify bottlenecks and areas for improvement.

  • B. Correct.

    Simulating production-like traffic with tools like Cloud Load Testing or JMeter is a best practice to ensure the application behaves as expected under real-world conditions.

  • C. Incorrect.

    While testing during off-peak hours might minimize user impact, it does not align with performance testing's goal of simulating real-world scenarios, which may include peak traffic periods.

  • D. Correct.

    Testing both the application and infrastructure, including auto-scaling configurations, ensures that your application scales effectively under heavy loads and that infrastructure settings are optimal.

  • E. Incorrect.

    Excluding third-party APIs from your tests can lead to inaccurate results since the performance of these APIs may impact your application's overall performance under load.

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