CTFL-PT_D Questions and Answers

To determine how many departing passengers access the front-end per hour, including those reconnecting:

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.

Including Reconnecting Passengers:

30% of departing passengers reconnect for a boarding pass.

Reconnecting passengers: 30% of 937.5 passengers/hour = 0.30 * 937.5 = 281.25 passengers/hour.

Total front-end accesses per hour: 937.5 + 281.25 = 1,218.75 passengers/hour.

Given the available options, the closest correct value isA. 1,425.00 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

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.

Reproducibility is a fundamental principle of performance testing, ensuring that identical results are obtained when tests are repeated on an unchanged system. This principle is critical for verifying the reliability and consistency of performance test outcomes, allowing testers to confidently identify and address performance issues. ISTQB standards emphasize reproducibility to ensure that performance testing provides accurate and actionable insights.

II. Software configuration: Ensures the software under test is set up correctly, mirroring the production environment as closely as possible.

III. Test data: Provides the necessary inputs to simulate real-world scenarios and workloads.

V. Hardware configuration: Ensures the physical resources are adequately represented to gauge performance metrics accurately.

These elements are crucial for creating a realistic and effective performance testing environment. According to ISTQB standards, these components ensure that the testing environment accurately reflects production conditions, which is critical for obtaining valid and reliable performance test results.

When preparing a presentation for business stakeholders, it is essential to focus on high-level objectives and outcomes that align with business goals. In the context of performance testing, the stakeholders are primarily concerned with ensuring that the system can handle peak loads and maintain operational integrity.

Option Atalks about the setup of the test environment and the logistics of passenger data, which is too technical for business stakeholders.

Option Bfocuses on budget and timeline, which are relevant but do not directly address the performance test's purpose and objectives.

Option Cclearly states the purpose of the performance test (spike test) and its objective, which is to verify that the system can support concurrent request peaks, directly aligning with business interests.

Option Dagain focuses on technical details about the test environment setup, which is not the primary concern for business stakeholders.

Therefore, Option C is the most appropriate choice as it succinctly communicates the performance test's objective and its relevance to business operations.

Ramp-up in performance testing refers to the phase where the number of virtual users is gradually increased to simulate the increase in load on the system. This is essential for determining how the system behaves under varying levels of stress. The correct description of the ramp-up concept aligns with option C, which involves increasing the number of concurrent users to simulate a transition from a steady state to a higher load scenario.

References:

ISTQB Performance Testing Syllabus

ISTQB Glossary