CTFL-PT_D ISTQB Certified Tester Foundation Level - Specialist Performance Testing Questions and Answers

1A: Alerts and warnings are typically part of the operating environment to monitor and respond to issues in real-time.

2B: Concurrency of usage is critical in the business environment where multiple users interact with the system simultaneously.

3A: Operational processes are key aspects of the operating environment, ensuring the smooth running of day-to-day activities.

4C: Resource utilization is a technical concern, focusing on how effectively system resources are used.

5C: Response time is a technical metric that directly affects user experience and system efficiency.

6B: Throughput of data, transactions, and other units of work performed is relevant to the business environment where the volume of operations impacts overall performance.

This categorization aligns with the ISTQB framework for performance evaluation across different environments, ensuring comprehensive coverage of performance metrics.

Correlation is a critical step in preparing performance test scripts, especially when they are generated from protocol-level recordings. It involves handling dynamic values (such as session IDs or tokens) that change with each user session or transaction. Without correlation, the script fails to handle these dynamic values correctly, leading to playback errors. According to ISTQB principles, ensuring scripts are properly correlated is essential for accurate and functional test execution.

To calculate the number of departing passengers accessing the front-end only once to check in per hour, we follow these steps:

Total Departing Passengers in January:

465,000 passengers transported throughout January.

Duration of Operations in January:

Operating hours: 07:00 to 23:00, which equals 16 hours per day.

Total days in January: 31 days.

Total operating hours in January: 31 days * 16 hours/day = 496 hours.

Passengers Per Hour:

Total passengers: 465,000.

Total hours of operation: 496 hours.

Passengers per hour: 465,000 passengers / 496 hours = 937.5 passengers/hour.

Passengers Accessing Only Once for Check-In:

30% of departing passengers reconnect for a boarding pass, which means 70% access only once.

Passengers accessing only once: 70% of 937.5 passengers/hour = 0.70 * 937.5 = 656.25 passengers/hour.

Given the available options, the closest correct value isC. 625.00 departing passengers / hour.

In the testing process, specific test conditions for performance testing are identified during the Test Analysis phase. This phase involves reviewing and analyzing the test basis, such as requirements, architecture, and design, to identify the test conditions, which are the items or events of a component or system that could be verified by one or more test cases.

References:

ISTQB Foundation Level Syllabus

ISTQB Glossary

When presenting performance test results, it is vital to compare the collected metrics against the predefined acceptance criteria and highlight areas needing improvement.

Option Aincorrectly suggests that no improvement is required for completed transactions, even though the acceptance value isn't met.

Option Brightly states that improvements are required for completed transactions but incorrectly suggests no improvement is needed for check-in transactions.

Option Csuggests no improvements are needed for either metric, which is incorrect as both are below the acceptance values.

Option Dcorrectly identifies that both the percentage of completed transactions and the check-in transactions are below the acceptance values and require improvement.

Therefore, Option D accurately reflects the need for improvements in both metrics to meet the acceptance criteria.

Disk fragmentation (I) can lead to slower data retrieval times as the disk has to work harder to read fragmented files.

File repository growth (III) increases the amount of data that must be managed and retrieved, which can slow down response times.

Memory leaks (IV) gradually consume available memory, leading to slower system performance as the available memory for processing tasks decreases.

Network latency (II) and inadequate database design (V) are also potential causes of performance degradation, but in this context, options I, III, and IV are the most directly related to the gradual degradation of response times over time. This understanding is supported by common performance testing practices outlined in ISTQB materials.

Performance risks should be analyzed and evaluated continuously throughout the development lifecycle, especially in projects with high processing capacity and independent operation across multiple locations. This ongoing evaluation helps to identify and mitigate risks early and adapt to any changes that occur during development.

References:

ISTQB Performance Testing Syllabus

ISTQB Advanced Level Test Manager Syllabus

To calculate the minimum front-end processing capacity, we need to account for the peak and off-peak transactions:

Peak Transactions:

Assume 12 peak periods per hour.

During peak times, the transaction rate is 100 transactions/minute.

Off-Peak Transactions:

There are 60 - 12 = 48 minutes of off-peak periods per hour.

Off-peak transaction rate is 10.42 transactions/minute.

Total Transactions Per Hour:

Peak transactions: 12 * 100 = 1,200 transactions.

Off-peak transactions: 48 * 10.42 = 500.16 transactions.

Total transactions per hour: 1,200 + 500.16 = 1,700.16 transactions/hour.

Thus, the correct answer isD. 100 * 12 + (60 - 12) * 10.42 = 1,700.16 transactions/hour.

System testing of overall end-to-end behaviors under various load conditions provides a comprehensive view of how the system performs in real-world scenarios. This type of testing captures interactions between components, identifies potential bottlenecks, and ensures that the system meets performance requirements under expected load conditions. ISTQB performance testing principles highlight the importance of end-to-end testing to validate that the system can handle the intended workloads effectively.