iSQI CTFL-PT_D ISTQB Certified Tester Foundation Level - Specialist Performance Testing Exam Practice Test

Spike testing involves subjecting a system to a significant increase in load for short periods of time to determine if it can handle sudden spikes in traffic. Emily's scenario of testing a system's responseto a high number of concurrent users during specific periods and then returning to a stable state fits the description of spike testing.

References:

ISTQB Performance Testing Syllabus

ISTQB Glossary

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.

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.

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.

In an Agile, iterative, and incremental development model:

III: The performance test may be conducted by a specific team. This is true as dedicated performance testing teams often handle complex performance testing tasks.

IV: A performance test cycle must be performed in each iteration by the development team (Agile). This ensures that performance testing is integrated into each iteration to catch performance issues early.

Statements I and II are not necessarily true:

I: While possible, it is not always the case that there will be a dedicated iteration for performance testing.

II: Performance testing in a cloud-based environment is beneficial but not mandatory.

References:

ISTQB Performance Testing Syllabus

ISTQB Agile Tester Extension Syllabus

The main activities of performance test execution include:

I. Monitoring all parts of the environment: Ensures that performance metrics are collected from various components to provide a comprehensive view of the system’s performance.

III. Collecting and keeping all results and information related to the test: Essential for analyzing the performance test outcomes and identifying areas for improvement.

IV. Generation of a load against the SUT according to a load profile: Simulates the expected user load to assess how the system performs under typical and peak conditions.

These activities align with ISTQB guidelines, which emphasize thorough monitoring, data collection, and load generation as critical components of effective performance testing.

To determine the number of virtual users necessary for the performance test:

Total Transactions Needed:

11,700 transactions are required to simulate the operation.

Conditions of Operations:

The simulation should reflect the realistic load of departing passengers accessing the front-end application.

Virtual Users:

The number of virtual users required is equal to the total number of transactions to be generated in the test since each virtual user performs one transaction.

Thus, the correct answer isB. 11,700virtual users will be necessary to achieve the specified number of transactions under the given conditions.

The scope of performance testing is established during the test planning phase. During this phase, testers define the objectives, resources, schedule, and scope of the testing activities. This includes identifying the specific performance requirements, determining the test environment, and outlining the test strategy. According to ISTQB guidelines, effective test planning ensures that the performance testing efforts are aligned with the project goals and stakeholder expectations, setting a clear direction for subsequent testing activities.

The correct associations between the aspects and factors to be considered when selecting performance testing tools are:

Compatibility: Protocols. (C)

Scalability: Ability to generate load from multiple points of presence. (D)

Understandability: Level of technical knowledge needed to use the tool. (A)

Monitoring: Correlation of the monitoring with the defined transactions. (B)

References:

ISTQB Performance Testing Syllabus

ISTQB Glossary

Virtualizing the servers is not typically part of performance test preparation. Performance test preparation generally involves activities such as deploying the test environment, setting up the system under test, and configuring load generation and monitoring tools to ensure accurate data collection. While virtualization can be an aspect of the overall infrastructure setup, it is not a direct step in preparing for performance testing. ISTQB performance testing guidelines emphasize setting up the environment, system, and tools specifically for performance test execution.

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.

Aggregating results from performance testing allows for the identification of performance trends, reporting of metrics in an understandable way, and providing stakeholders with insights into the speed of specific business processes. However, it does not necessarily provide an overall status of system performance. Instead, it focuses on detailed metrics and trends. ISTQB guidelines highlight the importance of presenting performance metrics clearly but recognize that aggregated data does not equate to a comprehensive status overview of the entire system's performance.