Collecting Performance Measurements and Metrics CT-PT Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A test team is running a series of load tests to compare the performance of two different application versions. To ensure a valid comparison, what is the most important data to record and store for each test run?

   • AThe application version, test script version, load profile, and environment configuration
   • BThe total disk space used by the test tool during the run
   • CThe name of the test engineer who ran each test
   • DOnly the final response time summary for each version
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2. 22foundation · easy

   A performance test objective is to verify that the system can handle the expected peak load without errors. Which metric is most directly relevant to this objective?

   • AResponse time
   • BNetwork latency
   • CResource utilization
   • DError rate
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4. 23foundation · easy

   Which of the following is an example of documenting performance measurements in a structured format?

   • AWriting a summary of the test results in a text document
   • BRecording response times and throughput in a spreadsheet with columns for each metric and timestamp
   • CTaking screenshots of the application during the test
   • DSending an email to stakeholders with the test results
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5. 24application · medium

   A performance test engineer is running a load test against a web application. The test tool reports an unusually low average response time, but users are reporting the application is slow. Upon investigation, the engineer discovers that the tool's virtual users are receiving HTTP 500 errors instantly from a misconfigured load balancer. What is the most important action to ensure data accuracy for this test run?

   • ASwitch to a different load testing tool that does not record HTTP 500 responses
   • BCorrelate the response time data with the error rate and HTTP status codes before analyzing the results
   • CIncrease the think time between requests to reduce the load on the misconfigured load balancer
   • DCalculate the average response time excluding the HTTP 500 responses
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6. 25application · medium

   A performance test team is running a 3-hour endurance test. They need to store the collected metrics for later analysis and to compare with future test runs. Which approach best supports structured storage and reliable comparison?

   • AKeep the raw tool output files on the local test machine without any naming convention
   • BOverwrite the previous test run's data files with the current run to save disk space
   • CStore raw tool output files in a timestamped folder and also export a summary CSV with test ID, timestamp, and key metrics
   • DSave only the final summary report as a PDF and email it to the project stakeholders
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