What is the primary purpose of aggregating performance test results over time intervals (e.g., per minute)?

To analyze trends and identify performance degradation or improvement

To ensure all transactions have the same response time

To reduce the total number of test results

To make the results easier to read in a spreadsheet

A team ran a load test and obtained the following results: Transaction A has a mean response time of 1 second and a standard deviation of 0.1 seconds. Transaction B has a mean of 1 second and a standard deviation of 2 seconds. What can be concluded about the performance of these transactions?

Both transactions have identical performance because their means are the same

Transaction B has more variable response times, which may indicate inconsistent performance

Transaction A is slower than Transaction B because its standard deviation is lower

Transaction B is faster than Transaction A because its standard deviation is higher

A team ran the same test scenario on two different days. On Day 1, the average load was 100 users; on Day 2, it was 150 users. The average response time on Day 1 was 1.0 second, and on Day 2 it was 1.5 seconds. The team wants to compare performance across the two days to see if the system improved. What is the most appropriate approach?

Normalize the response times by dividing by the number of users

Use the median response time from each day instead of the mean

Re-run the test on Day 2 with the same 100-user load as Day 1

Compare the raw average response times directly (1.0 vs 1.5)

Which technique is commonly used to identify outliers in a set of response time measurements?

Counting the total number of transactions

Calculating the interquartile range (IQR)

Sorting the data in ascending order

Why is it important to handle outliers before aggregating performance test results?

Outliers can skew the aggregated results, leading to misleading conclusions

Outliers make the results too large to store

Outliers are the most important data points and should be the only ones reported

Outliers are always errors and must be deleted

Certified Tester Performance Testing

Domain 2Objective 4

Aggregating Results from Performance Testing CT-PT Practice Questions (Page 6)

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 26–30

26foundation · easy
What is the primary purpose of aggregating performance test results over time intervals (e.g., per minute)?
Select an answer first
27expert · hard
A team ran a load test and obtained the following results: Transaction A has a mean response time of 1 second and a standard deviation of 0.1 seconds. Transaction B has a mean of 1 second and a standard deviation of 2 seconds. What can be concluded about the performance of these transactions?
Select an answer first
28expert · hard
A team ran the same test scenario on two different days. On Day 1, the average load was 100 users; on Day 2, it was 150 users. The average response time on Day 1 was 1.0 second, and on Day 2 it was 1.5 seconds. The team wants to compare performance across the two days to see if the system improved. What is the most appropriate approach?
Select an answer first
29foundation · easy
Which technique is commonly used to identify outliers in a set of response time measurements?
Select an answer first
30foundation · easy
Why is it important to handle outliers before aggregating performance test results?
Select an answer first

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