A team ran a test where the load ramped up from 10 to 100 users over 30 minutes. They want to aggregate response times for the entire test. What is the most appropriate way to account for the varying load?

Calculate a single average response time for the whole test

Use the maximum response time from the highest load

Use the median response time for the whole test

Aggregate response times separately for each load level or ramp phase

During a 60-minute endurance test, the team recorded average response time every minute. They notice that the average stays around 1.5 seconds for the first 30 minutes, then gradually climbs to 3.0 seconds by minute 60. What is the most appropriate way to analyze this data to identify the trend?

Calculate the overall average for the entire 60 minutes

Plot the per-minute averages and look for a trend line

Use the median of all per-minute averages

Use the maximum response time from the entire test

A team is analyzing a 2-hour soak test. They aggregated response times into 5-minute intervals. In the first 30 minutes, they see a few spikes to 8 seconds, but the median stays around 1 second. After 60 minutes, the median starts climbing steadily. What is the most appropriate conclusion?

The test is invalid because of the early spikes

The steady climb is due to the early spikes

The early spikes indicate a bottleneck that will get worse

The early spikes are outliers and the steady climb after 60 minutes indicates a real degradation trend

Certified Tester Performance Testing

Domain 2Objective 4

Aggregating Results from Performance Testing CT-PT Practice Questions (Page 4)

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

7concepts

Questions 16–20

16application · medium
A team ran a test where the load ramped up from 10 to 100 users over 30 minutes. They want to aggregate response times for the entire test. What is the most appropriate way to account for the varying load?
Select an answer first
17foundation · easy
At which aggregation level would you combine response times from all users executing the 'Login' transaction across the entire test run?
Select an answer first
18application · medium
During a 60-minute endurance test, the team recorded average response time every minute. They notice that the average stays around 1.5 seconds for the first 30 minutes, then gradually climbs to 3.0 seconds by minute 60. What is the most appropriate way to analyze this data to identify the trend?
Select an answer first
19foundation · easy
Which aggregation method is most sensitive to extreme values in a set of response time measurements?
Select an answer first
20application · medium
A team is analyzing a 2-hour soak test. They aggregated response times into 5-minute intervals. In the first 30 minutes, they see a few spikes to 8 seconds, but the median stays around 1 second. After 60 minutes, the median starts climbing steadily. What is the most appropriate conclusion?
Select an answer first

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Aggregating Results from Performance Testing CT-PT Practice Questions (Page 4)

Questions 16–20

A team ran a test where the load ramped up from 10 to 100 users over 30 minutes. They want to aggregate response times for the entire test. What is the most appropriate way to account for the varying load?

At which aggregation level would you combine response times from all users executing the 'Login' transaction across the entire test run?

During a 60-minute endurance test, the team recorded average response time every minute. They notice that the average stays around 1.5 seconds for the first 30 minutes, then gradually climbs to 3.0 seconds by minute 60. What is the most appropriate way to analyze this data to identify the trend?

Which aggregation method is most sensitive to extreme values in a set of response time measurements?

A team is analyzing a 2-hour soak test. They aggregated response times into 5-minute intervals. In the first 30 minutes, they see a few spikes to 8 seconds, but the median stays around 1 second. After 60 minutes, the median starts climbing steadily. What is the most appropriate conclusion?

Keep studying — Performance Measurement Fundamentals