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BCS ISTQB Certified Tester Foundation Level CTFL 4.0 Sample Questions (Q111-Q116):

NEW QUESTION # 111
Testing Quadrants, as a model, is effective in aligning stakeholders within Agile teams.
Which of the following examples demonstrates this?

A. Using Testing Quadrants, the test manager is able to differentiate and describe the types of tests to all stakeholders.
B. Using Testing Quadrant, the test manager is able to prioritize defects by linking these to a specific type of test.
C. Using Testing Quadrants, the test manager is able to communicate potential product risk to all stakeholders.
D. Using Testing Quadrants, the test manager is able to measure and communicate test coverage to all stakeholders.

Answer: A

Explanation:
The Testing Quadrants model helps Agile teams by categorizing different types of tests and their purposes.
This differentiation helps test managers explain the testing strategy to all stakeholders, ensuring everyone understands the scope and objectives of each test type. This model aids in planning, executing, and tracking testing activities across different quadrants, making it easier to align with stakeholders' expectations and project goals.Reference:ISTQB CTFL Syllabus V4.0, Section 5.1.7

NEW QUESTION # 112
Which ONE of the following statements about maintenance testing is CORRECT?

A. Maintenance testing should be performed when enhancements, fixes, or updates are applied to an existing system.
B. Maintenance testing does not require test cases since it focuses solely on defect verification.
C. Maintenance testing is performed exclusively for adaptive maintenance.
D. Maintenance testing is only required when defects are reported in production.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:Maintenance testing is carried outwhenever changes are made to an existing system, including enhancements, defect fixes, and system migrations (C). It is not limited to adaptive maintenance (A) and is needed even when no defects are reported (B). Test cases are essential to validate fixes and prevent regressions (D).

NEW QUESTION # 113
Which of the following statements about how different types of test tools support testers is true?

A. The support offered by a performance testing tool is often leveraged by testers to run load tests
B. The support offered by a test data preparation tool is often leveraged by testers to run automated regression test suites
C. The support offered by a bug prediction tool is often used by testers to track the bugs they found
D. The support offered by a continuous integration tool is often leveraged by testers to automatically generate test cases from a model

Answer: A

Explanation:
The support offered by a performance testing tool is often leveraged by testers to run load tests, which are tests that simulate a large number of concurrent users or transactions on the system under test, in order to measure its performance, reliability, and scalability. Performance testing tools can help testers to generate realistic workloads, monitor system behavior, collect and analyze performance metrics, and identify performance bottlenecks. The other statements are false, because:
A test data preparation tool is a tool that helps testers to create, manage, and manipulate test data, which are the inputs and outputs of test cases. Test data preparation tools are not directly related to running automated regression test suites, which are test suites that verify that the system still works as expected after changes or modifications. Regression test suites are usually executed by test execution tools, which are tools that can automatically run test cases and compare actual results with expected results.
A bug prediction tool is a tool that uses machine learning or statistical techniques to predict the likelihood of defects in a software system, based on various factors such as code complexity, code churn, code coverage, code smells, etc. Bug prediction tools are not used by testers to track the bugs they found, which are the actual defects that have been detected and reported during testing. Bugs are usually tracked by defect management tools, which are tools that help testers to record, monitor, analyze, and resolve defects.
A continuous integration tool is a tool that enables the integration of code changes from multiple developers into a shared repository, and the execution of automated builds and tests, in order to ensure the quality and consistency of the software system. Continuous integration tools are not used by testers to automatically generate test cases from a model, which are test cases that are derived from a representation of the system under test, such as a state diagram, a decision table, a use case, etc. Test cases can be automatically generated by test design tools, which are tools that support the implementation and maintenance of test cases, based on test design specifications or test models. Reference: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:
ISTQB Certified Tester Foundation Level Syllabus v4.0, Chapter 3.4.1, Types of Test Tools ISTQB Glossary of Testing Terms v4.0, Performance Testing Tool, Test Data Preparation Tool, Bug Prediction Tool, Continuous Integration Tool, Test Execution Tool, Defect Management Tool, Test Design Tool

NEW QUESTION # 114
Which of the following statements about how different types of test tools support testers is true?

A. The support offered by a performance testing tool is often leveraged by testers to run load tests
B. The support offered by a test data preparation tool is often leveraged by testers to run automated regression test suites
C. The support offered by a bug prediction tool is often used by testers to track the bugs they found
D. The support offered by a continuous integration tool is often leveraged by testers to automatically generate test cases from a model

Answer: A

Explanation:
The support offered by a performance testing tool is often leveraged by testers to run load tests, which are tests that simulate a large number of concurrent users or transactions on the system under test, in order to measure its performance, reliability, and scalability. Performance testing tools can help testers to generate realistic workloads, monitor system behavior, collect and analyze performance metrics, and identify performance bottlenecks. The other statements are false, because:
* A test data preparation tool is a tool that helps testers to create, manage, and manipulate test data, which are the inputs and outputs of test cases. Test data preparation tools are not directly related to running automated regression test suites, which are test suites that verify that the system still works as expected after changes or modifications. Regression test suites are usually executed by test execution tools, which are tools that can automatically run test cases and compare actual results with expected results.
* A bug prediction tool is a tool that uses machine learning or statistical techniques to predict the likelihood of defects in a software system, based on various factors such as code complexity, code churn, code coverage, code smells, etc. Bug prediction tools are not used by testers to track the bugs they found, which are the actual defects that have been detected and reported during testing. Bugs are usually tracked by defect management tools, which are tools that help testers to record, monitor, analyze, and resolve defects.
* A continuous integration tool is a tool that enables the integration of code changes from multiple developers into a shared repository, and the execution of automated builds and tests, in order to ensure the quality and consistency of the software system. Continuous integration tools are not used by testers to automatically generate test cases from a model, which are test cases that are derived from a representation of the system under test, such as a state diagram, a decision table, a use case, etc. Test cases can be automatically generated by test design tools, which are tools that support the implementation and maintenance of test cases, based on test design specifications or test models.
References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:
* ISTQB Certified Tester Foundation Level Syllabus v4.0, Chapter 3.4.1, Types of Test Tools
* ISTQB Glossary of Testing Terms v4.0, Performance Testing Tool, Test Data Preparation Tool, Bug Prediction Tool, Continuous Integration Tool, Test Execution Tool, Defect Management Tool, Test Design Tool

NEW QUESTION # 115
Which ONE of the following is a GOOD testing practice that is INDEPENDENT of the chosen SDLC (Software Development Life Cycle) model?

A. Test analysis and design for a specific test level begin during the corresponding development phase of the SDLC, allowing testing to follow the principle of late testing.
B. Testers are involved in reviewing work products as soon as the final version of this documentation is available so that this earlier testing and defect detection can support the "shift-left" strategy.
C. Different test levels have specific and overlapping test objectives, allowing tests to be appropriate to specific test object types while managing redundancy.
D. For every software development activity, there is a corresponding testing activity, ensuring that all development activities are subject to quality assurance.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Different test levels (unit, integration, system, acceptance) have specific objectives while sometimes overlapping to ensure comprehensive testing (D).
Option A contradicts shift-left principles, B encourages late testing (which is ineffective), and C incorrectly assumes that all development activities require direct test actions.

NEW QUESTION # 116
......

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BCS ISTQB Certified Tester Foundation Level CTFL 4.0 Sample Questions (Q111-Q116):

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