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Certified Tester Performance Testing

Domain 2Objective 5

Key Sources of Performance Metrics CT-PT Practice Questions (Page 2)

Part of the Performance Measurement Fundamentals domain, which makes up ~28% of our current practice bank. ISTQB does not publish an official question count, but from its 90-minute exam (~35–60 total, ~10–17 in this domain), expect 2–3 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here
6free pages
6concepts

Questions 6–10

  1. 6expert · hard

    A test engineer is analyzing a performance issue where the error rate increases from 1% to 10% during a load test. The load testing tool shows the increase, but the monitoring tool shows all servers are healthy. The application logs contain stack traces for a specific exception. Which log-based metric would best help determine if the exception is the primary cause of the errors?

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  2. 7foundation · easy

    A performance test shows high response times, and the server's CPU utilization is also high. What does correlating these metrics suggest?

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  3. 8application · medium

    A load testing tool is configured with 100 virtual users, each performing a login transaction. The tool reports an average response time of 3 seconds and a throughput of 30 transactions per minute. The test engineer wants to verify if the throughput is consistent with the load. Which calculation would confirm this?

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  4. 9application · medium

    A test team is preparing to run a load test on a new API. They need to collect metrics that show the end-to-end user experience, the server's resource usage, and any errors thrown by the application. Which combination of metric sources should they use?

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  5. 10expert · hard

    A performance test on a web application shows that the response time is 7 seconds. The load testing tool reports that the network time is 100 ms, the server processing time is 1 second, and the client rendering time is 5 seconds. The infrastructure monitoring tool shows the server CPU at 30%. Which conclusion is best supported by these metrics?

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