Base Scenario 2 : This Base Scenario 2 is used for 8 questions throughout this exam. When you refer to Base Scenario 2, you are referring to this description and only this description, without any modification.
Natalie works for a company that develops an online check-in management software for a major international airline.
Online check-in is available for passenger check-in from 24 to 1 hour before boarding time.
Once the registration is confirmed by the customer and the system, the information must be available to the rest of the types of users (flight managers, among others) in a maximum time of 3 seconds (it is expected that this temporal constraint is met in 90% of the transactions and that 90% of the transactions are completed at 100%).
At the beginning of the check-in window, there are peaks of 100 users per minute, for one minute.
Question
Which of the following options is a performance-related business objective that could be suitable for this project?
SELECT ONE OPTION
Given the scenario of online check-in with peak user activity, the most suitable performance-related business objective would be to ensure that the system can handle a high number of concurrent users within a short period without performance degradation. Option A directly addresses the requirement to support peak loads while maintaining system performance, which aligns with the specified peak of 100 users per minute.
* ISTQB Performance Testing Syllabus
* ISTQB Glossary
(REFER TO BASE SCENARIO 2): When you refer to Base Scenario 2, you are referring to the description and only the description, without any modification.
Question specific constraints: (specific constraints are not part of the Base Scenario and are specific to this question).
Throughout the month of January (31 days), the company performed 3,100 departure operations from the Capital City Airport. These departure operations transported 465,000 passengers during the hours of operation, from 07:00 to 23:00.
The departing passengers (one of the most relevant operational profiles) will access the front-end of the application to check in for their flight. It is known that 30% of departing passengers reconnect after checking in to request the boarding pass to be resent or printed.
Question
Assuming there is one boarding every 5 minutes, what should be the minimum front-end processing capacity of the system for the "departing passenger* user? It is assumed that there will be 12 peaks or maximums per hour.
SELECT ONE OPTION
To calculate the minimum front-end processing capacity, we need to account for the peak and off-peak transactions:
1. Peak Transactions:
o Assume 12 peak periods per hour.
o During peak times, the transaction rate is 100 transactions/minute.
2. Off-Peak Transactions:
o There are 60 - 12 = 48 minutes of off-peak periods per hour.
o Off-peak transaction rate is 10.42 transactions/minute.
3. Total Transactions Per Hour:
o Peak transactions: 12 * 100 = 1,200 transactions.
o Off-peak transactions: 48 * 10.42 = 500.16 transactions.
o Total transactions per hour: 1,200 + 500.16 = 1,700.16 transactions/hour.
Thus, the correct answer is D. 100 * 12 + (60 - 12) * 10.42 = 1,700.16 transactions/hour.
Select the architecture that, in addition to the virtualized systems, could present performance risks associated with virtualization.
SELECT ONE OPTION
Dynamic and cloud-based systems introduce performance risks associated with virtualization due to the inherent nature of resource allocation and scalability in these environments. Virtualized systems often share physical resources, leading to potential contention and unpredictable performance impacts. These risks are more pronounced in dynamic/cloud-based architectures where resources are frequently allocated and deallocated based on demand, potentially causing latency, resource bottlenecks, and performance variability. ISTQB guidelines on performance testing emphasize understanding these risks to ensure reliable performance outcomes.
Select the ONE option that describes the mechanism used to extract metrics associated with deadlocks and multi threading problems
SELECT ONE OPTION
Direct measurement through a performance monitoring tool is the most effective mechanism for extracting metrics associated with deadlocks and multithreading problems. These tools can provide real-time insights into the system's performance, highlighting issues such as thread contention, deadlocks, and resource bottlenecks. ISTQB performance testing principles advocate the use of specialized monitoring tools to capture detailed performance metrics, facilitating the identification and resolution of complex multithreading issues.
Which ONE of the following mechanisms is used to make the load test represent a load situation in a real production environment?
SELECT ONE OPTION
Generating load through the User Interface (UI) is essential to replicate a real production environment accurately. This approach simulates real user interactions with the system, providing a more realistic assessment of how the system performs under actual usage conditions. According to ISTQB standards, using the UI to generate load helps identify performance issues that users might experience, ensuring that the test results are relevant and actionable.
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