The V-model is a software development life cycle model that defines four test levels that correspond to four development phases: component (unit) testing with component design, integration testing with architectural design, system testing with system requirements, and acceptance testing with user requirements. The V-model emphasizes the importance of verifying and validating each phase of development with a corresponding level of testing, and ensuring that the test objectives, test basis, and test artifacts are aligned and consistent across the test levels. Therefore, an organization that wants to follow the V-model cannot do away with integration testing, as it would break the symmetry and completeness of the V-model, and compromise the quality and reliability of the software or system under test. Integration testing is a test level that aims to test theinteractions and interfaces between components or subsystems, and to detect any defects or inconsistencies that may arise from the integration of different parts of the software or system. Integration testing is essential for ensuring the functionality, performance, and compatibility of the software or system as a whole, and for identifying and resolving any integration issues early in the development process. Skipping integration testing would increase the risk of finding serious defects later in the test process, or worse, in the production environment, which would be more costly and difficult to fix, and could damage the reputation and credibility of the organization. Therefore, the correct answer is D.

The other options are incorrect because:

A. It is not allowed as organizations can decide on the test levels to do depending on the context of the system under test. While it is true that the choice and scope of test levels may vary depending on the context of the system under test, such as the size, complexity, criticality, and risk level of the system, the organization cannot simply ignore or skip a test level that is defined and required by the chosen software development life cycle model. The organization must follow the principles and guidelines of the software development life cycle model, and ensure that the test levels are consistent and coherent with the development phases. If the organization wants to have more flexibility and adaptability in choosing the test levels, it should consider using a different software development life cycle model, such as an agile or iterative model, that allows for more dynamic and incremental testing approaches.

B. It is not allowed because integration testing is not an important test level and can be dispensed with. This statement is false and misleading, as integration testing is a very important test level that cannot be dispensed with. Integration testing is vital for testing the interactions and interfaces between components or subsystems, and for ensuring the functionality, performance, and compatibility of the software or system as a whole. Integration testing can reveal defects or inconsistencies that may not be detected by component (unit) testing alone, such as interface errors, data flow errors, integration logic errors, or performance degradation. Integration testing can also help to verify and validate the architectural design and the integration strategy of the software or system, and to ensure that the software or system meets the specified and expected quality attributes, such as reliability, usability, security, and maintainability. Integration testing can also provide feedback and confidence to the developers and stakeholders about the progress and quality of the software or system development. Therefore, integration testing is a crucial and indispensable test level that should not be skipped or omitted.

C. It is not allowed because integration testing is a very important test level and ignoring it means definite poor product quality. This statement is partially true, as integration testing is a very important test level that should not be ignored, and skipping it could result in poor product quality. However, this statement is too strong and absolute, as it implies that integration testing is the only factor that determines the product quality, and that ignoring it would guarantee a poor product quality. This is not necessarilythe case, as there may be other factors that affect the product quality, such as the quality of the requirements, design, code, and other test levels, the effectiveness and efficiency of the test techniques and tools, the competence and experience of the developers and testers, the availability and adequacy of the resources and environment, the management and communication of the project, and the expectations and satisfaction of the customers and users. Therefore, while integration testing is a very important test level that should not be skipped, it is not the only test level that matters, and skipping it does not necessarily mean definite poor product quality, but rather a higher risk and likelihood of poor product quality.

References = ISTQB Certified Tester Foundation Level Syllabus, Version 4.0, 2018, Section 2.3, pages 16-18; ISTQB Glossary of Testing Terms, Version 4.0, 2018, pages 38-39; ISTQB CTFL 4.0 - Sample Exam - Answers, Version 1.1, 2023, Question 104, page 36.

Independent testers provide a fresh perspective and are more likely to identify failures that developers might overlook due to their familiarity with the software (C). Independent testing helps avoid cognitive biases, improves defect detection, and enhances the overall quality assurance process. While A and D touch on related concepts, they do not directly define the benefit as well as C does. Option B highlights a potential challenge rather than a benefit.

 The thought process of the software company is incorrect, because it assumes that each artifact can be reviewed using only one review method, and that the review method depends solely on the criticality of the artifact. This is a simplistic and rigid approach that does not consider the benefits and limitations of different review methods, the context and purpose of the review, and the feedback and improvement opportunities that can be gained from multiple reviews. According to the CTFL 4.0 Syllabus, the selection of review methods should be based on several factors, such as the type and level of detail of the artifact, the availability and competence of the reviewers, the time and budget constraints, the expected defects and risks, and the desired outcomes and quality criteria. Moreover, the same artifact can be reviewed using different review methods at different stages of the development lifecycle, to ensure that the artifact meets the changing requirements, standards, and expectations of the stakeholders. For example, a requirement specification can be reviewed using an informal review method, such as a walkthrough, to get an initial feedback from the users and developers, and then using a formal review method, such as an inspection, to verify the completeness, correctness, and consistency of the specification. Therefore, the software company should adopt a more flexible and context-sensitive approach to selecting and applying review methods for different artifacts, rather than following a fixed and arbitrary rule. References = CTFL 4.0 Syllabus, Section 3.2.1, page 31-32; Section 3.2.2, page 33-34; Section 3.2.3, page 35-36.

This answer is correct because equivalence partitioning is a test design technique that divides the input domain of a system or component into partitions of equivalent data, such that each partition is expected to produce the same output or behavior. Equivalence partitioning aims to reduce the number of test cases by selecting one representative value from each partition. In this case, the input domain of the TAS can be divided into four partitions based on the bonus rules: less than 50k€, between 50k€ and 80k€, between 80k€ and 120k€, and more than 120k€.The test cases in the answer belong to the same partition, which is between 80k€ and 120k€, and they are expected to produce the same output, which is a bonus of 15%. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.3.2.1

One of the primary benefits of using test automation tools is the reduction in time spent on repetitive tasks. Automation allows tests to be run quickly and consistently, freeing up testers to focus on more complex and exploratory testing tasks. While automation can help increase test coverage and improve efficiency, it does not necessarily reduce the number of found bugs or always decrease the total cost of the test project.

State transition testing validatesvalid and invalid state transitionsbased on defined rules.

D is invalidbecause it transitionsfrom DIAGNOSTIC MODE directly to EMERGENCY MODE, which isnot a valid state changein most systems.

Other options follow valid sequences according tostate transition rules.

Acceptance criteria for user stories are crucial in defining the specific requirements that a piece of software must meet to be accepted by the user or stakeholder. These criteria often include data definitions such as format, allowed values, and default values, ensuring that the software behaves correctly with the expected data inputs.

Option A is incorrect because user acceptance tests are not usually automated; they are often conducted manually by end-users. Option C is incorrect because acceptance criteria should cover both positive and negative scenarios to ensure comprehensive testing. Option D is incorrect because tests derived from acceptance criteria can indeed be included in the testing quadrants, particularly in the quadrant related to business-facing tests that critique the product.

Exercising at least one of the decision outcomes for all decisions within the code, ensures achieving full branch coverage, which is a test coverage criterion that requires that all branches in the control flow of the code are executed at least once by the testcases. A branch is a basic block of code that has a single entry point and a single exit point, and a decision is a point in the code where the control flow can take more than one direction, such as an if-then-else statement, a switch-case statement, a loop statement, etc. The decision outcomes are the possible paths that can be taken from a decision, such as the then branch or the else branch, the case branch or the default branch, the loop body or the loop exit, etc. The other statements are false, because:

The minimum number of test cases needed to achieve full branch coverage, is usually higher than that needed to achieve full statement coverage, which is a test coverage criterion that requires that all executable statements in the code are executed at least once by the test cases. This is because branch coverage is a stronger criterion than statement coverage, as it implies statement coverage, but not vice versa. For example, a single test case can achieve full statement coverage for an if-then-else statement, but two test cases are needed to achieve full branch coverage, as both the then branch and the else branch need to be exercised.

If full branch coverage has been achieved, then all unconditional branches within the code have not necessarily been exercised, as unconditional branches are branches that do not depend on any decision, and are always executed, such as a goto statement, a break statement, a return statement, etc. Unconditional branches are not part of the branch coverage criterion, as they do not represent different paths in the control flow of the code. However, they are part of the statement coverage criterion, as they are executable statements in the code.

If full branch coverage has been achieved, then all combinations of conditions in a decision table have not necessarily been exercised, as a decision table is a test design technique that represents the logical relationships between multiple conditions and their corresponding actions, in a tabular format. A decision table can have more combinations of conditions than the number of decision outcomes in the code, as each condition can have two or more possible values, such as true or false, yes or no, etc. For example, a decision table with four conditions can have 16 combinations of conditions, but the corresponding code may have only two decision outcomes, such as pass or fail. To exercise all combinations of conditions in a decision table, a stronger test coverage criterion is needed, such as condition combination coverage, which requires that all possible combinations of condition outcomes in the code are executed at least once by the test cases. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.3.1, Test Coverage Criteria Based on the Structure of the Software

ISTQB® Glossary of Testing Terms v4.0, Branch Coverage, Statement Coverage, Branch, Decision, Decision Outcome, Unconditional Branch, Decision Table, Condition Combination Coverage

Black-box testing techniques focus ontesting the functionality of the software without knowledge of its internal workings(D). They derive test cases fromspecifications, requirements, or expected behavior.Option Adescribes exploratory testing,Bcontradicts the definition by focusing on implementation, andCincorrectly includes "implied behavior," which is not a core characteristic of black-box testing.

Both black-box test techniques and experience-based test techniques can be applied to functional and non-functional testing. Functional testing focuses on what the system does, while non-functional testing examines how the system performs. These techniques provide flexible and effective methods for assessing various aspects of the system.

TheAgile Testing Quadrantsframework categorizes tests based on theirpurpose and audience:

Quadrant 1 (Q1): Technology-facing tests (unit and component tests).

Quadrant 2 (Q2): Business-facing tests supporting development (e.g., BDD tests).

Quadrant 3 (Q3):Business-facing tests that critique the system (B).

Includesusability testing, exploratory testing, and UATto ensure software meets user expectations.

Quadrant 4 (Q4): Technology-facing tests that critique the system (e.g., performance, security testing).

Option B correctly defines Q3since it focuses onevaluating the user experience, exploring the system, and validating business expectations.

Test automation allows you to produce tests that are less subject to human errors, as they can execute predefined test scripts or test cases with consistent inputs, outputs, and expected results. Test automation can also reduce the manual effort and time required to execute repetitive or tedious tests, such as regression tests, performance tests, or data-driven tests. Test automation does not demonstrate the absence of defects, as it can only verify the expected behavior of the system under test, not the unexpected or unknown behavior. Test automation does not avoid performing exploratory testing, as exploratory testing is a valuable technique to discover new information, risks, or defects that are not covered by automated tests. Test automation does not increase test process efficiency by facilitating management of defects, as defect management is a separate activity that involves reporting, tracking, analyzing,and resolving defects, which may or may not be related to automated tests. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 3.3.1, Test Automation1

ISTQB® Glossary of Testing Terms v4.0, Test Automation2

Acceptance criteria8states thatthe system should charge the user on the first business day of the following month. However, thetest cycle only verified monthly payments for over a year, without confirming whether payments were processedspecifically on the first business day.

(B) is incorrectbecause the test validatedmonthly and annual payment options.

(C) is incorrectbecause not all criteria were fully validated.

(D) is incorrectbecause OTP verification (6) was tested as part of registration.

Ensuringtimely execution of payments(Criteria 8) requires additional validation.

Comprehensive and Detailed Explanation From Exact Extract:

Theshift-left approachfocuses on executing testing activitiesas early as possiblein the software development lifecycle, including static testing, unit tests, and early reviews. Activities like writing tests before code (test-first) and continuous integration are central to this principle.

However, performingnon-functional testing at the system test levelhappenslaterin the lifecycle and doesnotalign with the shift-left philosophy.

“The shift-left approach involves the adoption of practices to move tasks related to testing (e.g., reviews, test design) to earlier stages in the lifecycle.”

(ISTQB CTFL v4.0 Syllabus, Section 2.1.5 – Shift-Left Approach)

“Non-functional testing is often performed at the system test level, but the shift-left approach aims to begin such testing earlier, possibly at integration or even unit levels.”

(ISTQB CTFL v4.0 Syllabus, Section 2.2.2 – Test Types)

Therefore,Option Ddoes not correspond to shift-left practices and is the correct answer.

The "absence-of-defects fallacy" in software development refers to the mistaken belief that if a software system has been thoroughly tested and all requirements have been met without any defects, it guarantees the success of the system. However, this is not necessarily true. Even if no defects are found, the system might still fail to meet the user's needs or business objectives. This fallacy highlights the importance of validation in addition to verification to ensure that the system fulfills the intended use and requirements​​.

A test-first approach involves writing tests before writing the code. In this approach, initially, the tests fail because the corresponding functionality is not yet implemented. Afterward, the code is written or modified to make the tests pass. This cycle is repeated iteratively. This method ensures that the code is developed based on predefined tests and helps in identifying issues early in the development process​​.

Decision rules define possiblecombinations of conditions and outcomes.

For this scenario:

Bulk discount has 3 categories(0%, 5%, 10%)

Frequent customer discount has 2 categories(Yes = +5%, No = 0%)

The total number of decision rules is:

3 bulk discount options × 2 frequent customer options = 6 rules.

Thus, the correct answer is6 decision rules (B).

Theratio-based estimation methodrelies on historical relationships betweendevelopment and testing effort.

Using the given5:3 ratio:

Thus, the correct answer is270 person-days (D).

(A) and (C) are incorrectas they overestimate the effort.

(B) underestimates the testing effort based on the ratio.

Ratio-based estimationhelps allocate resources effectively based on past project data.

The fact that defects are usually not evenly distributed among the various modules that make up a software application, but rather their distribution tend to reflect the Pareto principle, is expressed by the testing principle referred to as ‘Defects cluster together’. This principle states that a small number of modules contain most of the defects detected, or that a small number of causes are responsible for most of the defects. This principle can be used to guide the test analysis and design activities, by prioritizing the testing of the most critical or risky modules, or by applying more rigorous test techniques to them. Therefore, option C is the correct answer.

The correct tool forcreating test cases, test data, and test proceduresis atest design and implementation tool (A).

(B) is incorrectas static testing tools focus oncode analysis, not test case creation.

(C) is incorrectbecause DevOps tools manageautomation pipelines, not test design.

(D) is incorrectbecause test execution tools focus onrunning tests rather than designing them.

Test design tools helpoptimize test coverage, reduce redundancy, and improve efficiency.

Maintenance testing is performed to ensure that the application continues to function correctly after changes have been made. These changes can include modifications due to new regulations, bug fixes, enhancements, or any other updates. In this case, the change in the protocol for connecting to the payment gateway due to new regulations falls under maintenance testing, as itinvolves testing the application to ensure it works correctly after the implementation of the required changes​​.

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Exploratory testingis an unscripted approach where testersactively design and execute testsbased on theirintuition, experience, and knowledgeof the system. Atest charter (A)provides a guideline on what areas to explore, defining test objectives but leaving room for dynamic adaptation.

(B), (C), and (D) contradict exploratory testing principles, which focus on freedom rather than rigid documentation.

Exploratory testing is especially useful inagile environments, usability testing, and uncovering unexpected defects.

During release planning, a tester adds value by assessing the testability of user stories. This involves evaluating whether the user stories are clear, concise, and testable. The tester ensures that the acceptance criteria are well-defined and that the stories can be effectively tested within the given timeframe.

Boundary Value Analysis (BVA)focuses on test cases at the edges of partitions because defects often occur at boundaries. The temperature ranges are:

≤7 (Too cold → W)

[8-21] (Standstill → X)

[22-29] (Ideal → Y)

≥30 (Too hot → Z)

Atwo-point BVAmeans testing both thelower and upper boundary valuesof each partition.

The correct selection{7,8,21,22,29,30}includes:

7 → Boundary of Too Cold (W)

8 → Lower boundary of Standstill (X)

21 → Upper boundary of Standstill (X)

22 → Lower boundary of Ideal (Y)

29 → Upper boundary of Ideal (Y)

30 → Lower boundary of Too Hot (Z)

This ensures maximum boundary coverage.

Exploratory testing is characterized by its reliance on the skills and experience of the tester. The effectiveness of exploratory testing depends heavily on the tester's ability to design and execute tests basedon their intuition and knowledge of the application. This type of testing is often performed without predefined test cases, making the individual tester's expertise crucial.

This answer is correct because test implementation is the activity where test work products, such as test cases, test data, test scripts, test harnesses, test stubs, or virtual services, are created and verified. Test implementation also involves setting up the test environment and preparing the test execution schedule. A virtual service emulating a real third-party service and the automated test scripts that interact with that service are examples of test work products that are typically created during test implementation. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.2.2.3

One of the generic skills required for the role of a tester is the ability to use tools to make the execution of repetitive testing tasks more efficient. This includes using various test automation tools to streamline the testing process, reduce manual effort, and improve the consistency and accuracy of test results. Testers should be proficient in leveraging these tools to enhance productivity and ensure comprehensive test coverage.

Test planning is a critical phase in the software testing life cycle where the schedule for each testing activity and test milestones for a test project are determined. This involves using activity estimates, available resources, and other constraints to outline a comprehensive plan for the entire testing process. The main objective of test planning is to ensure that all testing activities are well-coordinated and that the testing process is efficient and effective. This phase sets the foundation for subsequent phases such as test analysis, test design, and test execution by providing a clear roadmap and allocation of resources.

This answer is correct because static testing and dynamic testing are both types of testing that can be used to highlight issues associated with non-functional characteristics, such as usability, performance, security, reliability, etc. Static testing is a type of testing that involves the analysis of software work products, such as requirements, design, code, or test cases, without executing them. Dynamic testing is a type of testing that involves the execution of software work products, such as code or test cases, using inputs and verifying outputs. Both static testing anddynamic testing can be applied to different test levels and test types, and can use different test techniques and tools, to evaluate the non-functional characteristics of the software product. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.2.1.1, Section 2.2.1.2

This answer is correct because it follows the logical dependencies and allows executing the test cases in priority order. TC4, TC3, and TC2 are executed first because they have the highest priority. TC6 is executed next because it has a logical dependency on TC2. TC1 is executed next because it has a logical dependency on TC5. Finally, TC5 is executed last because it has the lowest priority. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 documents

This answer is correct because the test procedures of all test cases that have been executed are not a typical content of a test completion report for a test project. A test completion report is a document that summarizes the test activities and results at the end of a test project. It usually includes information such as the test objectives, scope, approach, resources, schedule, results, deviations, issues, risks, lessons learned, and recommendations for improvement. The test procedures of all test cases that have been executed are part of the test documentation, but they are not relevant for the test completion report, as they do not provide a high-level overview of the test project outcomes and performance. References: ISTQB Foundation Level Syllabus v4.0, Section 2.5.3.2

A new navigation system compared with a previous system is the most suitable application for testing by use cases, because it involves a high level of interaction between the user and the system, and the expected behavior and outcomes of the system are based on the user’s needs and goals. Use cases can help to specify the functional requirements of the new navigation system, such as the ability to enter a destination, select a route, follow the directions, receive alerts, etc. Use cases can also help to compare the accuracy and usability of the new system with the previous system, by defining the success and failure scenarios, the preconditions and postconditions, and the alternative flows of each use case. Use cases can also help to design and execute test cases that cover the main and exceptional paths of each use case, and to verify the satisfaction of the user’s expectations.

The other options are not the most suitable applications for testing by use cases, because they do not involve a high level of interaction between the user and the system, or the expected behavior and outcomes of the system are not based on the user’s needs and goals. A billing system used to calculate monthly charge based on a large number of subscriber parameters is more suitable for testing by data-driven testing, which is a technique for testing the functionality and performance of a system or component by using a large set of input and output data. The ability of an antivirus package to detect and quarantine a new threat is more suitable for testing by exploratory testing, which is a technique for testing the functionality and security of a system or component by using an informal and flexible approach, based on the tester’s experience and intuition. The suitability and performance of a multimedia (audio video based) system to a new operating system is more suitable for testing by compatibility testing, which is a technique for testing the functionality and performance of a system or component by using different hardware, software, or network environments. References = CTFL 4.0 Syllabus, Section 3.1.1, page 28-29; Section 4.1.1, page 44-45; Section 4.2.1, page 47-48.

In the given decision table, Column 7 represents the following conditions and actions:

The patient is over 18 years old: True

The patient is allergic to Penicillin: True

The patient is taking anticoagulant therapy: True

When analyzing this column:

If the patient is over 18 years old, allergic to Penicillin, and taking anticoagulant therapy, the decision table suggests consultation with a hematologist and prescribing half of the full recommended dosage for 10 days.

This column does not represent an impossible situation based on the conditions provided. However, upon deeper inspection and understanding of medical practices, it can be argued that such a specificcombination of conditions could be highly unlikely, making it appear unnecessary or an edge case that might be considered for deletion.

Given the constraints of the conditions and the requirements of the decision table, the provided answer needs to be verified against real-world medical guidelines to confirm if this scenario is indeed impossible or just

This answer is correct because error guessing is a test design technique where the experience and intuition of the tester are used to anticipate where errors, defects and failures have occurred or are likely to occur, and to design test cases to expose them. Error guessing can be based on factors such as the complexity of the system or component, the known or suspected weaknesses of the system or component, the previous history of defects, or the common types of errors in the domain or technology. Error guessing can be used as a complementary technique to other more systematic or formal techniques, or when there is insufficient information or time to apply them. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.3.2.5

In an agile software development environment with distributed teams, effective communication is crucial. Given the distributed nature and the time zone differences, asynchronous communication methods such as emails are more practical and effective. They ensure that information can be shared and accessed by team members and stakeholders at their convenience, regardless of time zone differences. Regular email updates also provide a documented trail of communication, which can be reviewed and referred back to as needed. Formal face-to-face meetings can be challenging to coordinate across time zones and are not as flexible as email communications​​.

The document that describes the test procedures, including the order in which test cases are to be executed according to dependencies described by preconditions and postconditions, is typically produced during the test implementation phase. During this phase, detailed test procedures and scripts are developed, organized, and prioritized for execution. The main goal of test implementation is to ensure that all test cases are prepared and structured in a way that supports efficient and effective test execution.

The question is about identifying an example of testing contributing to higher quality. Quality is the degree to which a component, system or process meets specified requirements and/oruser/customer needs and expectations1. Testing is the process consisting of all lifecycle activities, both static and dynamic, concerned with planning, preparation and evaluation of software products and related work products to determine that they satisfy specified requirements, to demonstrate that they are fit for purpose and to detect defects2.

Therefore, testing contributes to higher quality by verifying and validating that the software products and related work products meet the specified requirements, are fit for purpose and have no defects, or at least have a reduced number of defects. Testing also provides information about the quality of the software products and related work products to the stakeholders, who can make informed decisions based on the test results3.

Out of the four given statements, only option D is an example of testing contributing to higher quality, as it shows that testing has detected a defect (a flaw in a component or system that can cause the component or system to fail to perform its required function4) and that the defect has been resolved (fixed and confirmed) prior to release (delivery of the software product to the customer or end user). This means that testing has prevented a potential failure (an event in which a component or system does not perform a required function within specified limits) from occurring in the operational environment, and thus has improved the quality of the software product.

Option A is not an example of testing contributing to higher quality, as it is a reporting activity that summarizes the test results and evaluates the test objectives, but does not directly affect the quality of the software product or related work products. A test summary report is a document that records and communicates the outcomes of testing activities, including test completion criteria, test results, incident reports, test summary and evaluation, and lessons learned.

Option B is not an example of testing contributing to higher quality, as it is a planning activity that estimates the resources and time needed for testing activities, but does not directly affect the quality of the software product or related work products. A test effort estimate is an approximation of the amount of work and/or the duration of time required to perform testing activities.

Option C is not an example of testing contributing to higher quality, as it is a preparation activity that sets up the test environment (an environment containing hardware, instrumentation, simulators, software tools, and other support elements needed to conduct a test), but does not directly affect the quality of the software product or related work products. A test environment installation is a process of installing and configuring the test environment according to the test environment specification.

Equivalence partitioning (EP)divides input values into classes where test casesrepresent all possible valuesof each partition. The partitions in this scenario are:

≤7 (too cold → W)

8-21 (standstill → X)

22-29 (ideal → Y)

≥30 (too hot → Z)

OptionC ({7,10,25,29})covers all partitionsby selecting representative values:

7 → Too cold (W)

10 → Standstill (X)

25 → Ideal (Y)

29 → Upper boundary of ideal (Y)

Other options do not cover all partitions adequately.

White-box testing involves testing the internal structures or workings of an application, as opposed to the functionality exposed to the end user. Experience-based testing, such as exploratory testing, involves testers using their knowledge, experience, and intuition to test the system without predefined test cases, often focusing on the input-output behavior of the system.

This answer is correct because code-related white-box test techniques are test design techniques that use the structure of the code to derive test cases. They provide an objective measure of coverage, such as statement coverage, branch coverage, or path coverage, which indicate how much of the code has been exercised by the test cases. Code-related white-box test techniques can be used to complement black-box test techniques, which are test design techniques that use the functional or non-functional requirements of the system or component to derive test cases. By combining both types of techniques, testers can increase their confidence in the code and find more defects. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.3.2.2

The whole team approach in testing means that the responsibility for testing is shared among all members of the team, not just the testers. This concept is emphasized in agile methodologies where collaboration and collective ownership of quality are key principles. Each team member, including developers, business analysts, and testers, contributes to the testing process, ensuring that quality is built into the product from the beginning.

Failures can be caused by defects, but also by environmental conditions. A failure is an event in which the software system does not perform a required function or performs a function incorrectly, according to the expected behavior. A defect is a flaw in the software system or a deviation from the requirements or the specifications, that may cause a failure. However, not all failures are caused by defects, as some failures may be caused by environmental conditions, such as hardware malfunctions, network interruptions, power outages, incompatible configurations, etc. Environmental conditions are factors that affect the operation of the software system, but are not part of the software system itself. The other statements are false, because:

A defect does not always produce a failure, while a bug always produces a failure. This statement is false, because a defect may or may not produce a failure, depending on the inputs, the outputs, the states, or the scenarios of the software system, and a bug is just another term for a defect, so it has the same possibility of producing a failure as a defect. For example, a defect in a rarely used feature or a hidden branch of the code may never produce a failure, while a defect in a frequently used feature or a critical path of the code may produce a failure often. A bug is not a different concept from a defect, but rather a synonym or a colloquial term for a defect, so it has the same definition and implications as a defect.

A defect may cause a failure which, when occurring, always causes an error. This statement is false, because an error is not a consequence of a failure, but rather a cause of a defect. An error is a human action or a mistake that produces a defect in the software system, such as a typo, a logic flaw, a requirement misunderstanding, etc. An error is not observable in the software system, but rather in the human mind or the human work products, such as the code, the design, the documentation, etc. A failure is not a cause of an error, but rather a result of a defect, which is a result of an error. For example, an error in the code may cause a defect in the software system, which may cause a failure in the software behavior.

Bugs are defects found during component testing, while failures are defects found at higher test levels. This statement is false, because bugs and failures are not different types of defects, but rather different terms for defects and their manifestations. As mentioned before, bugs are just another word for defects, and failures are the events in which the software system does not perform as expected due to defects. Bugs and failures can be found at any test level, not only at component testing or higher test levels. Test levels are the stages of testing that correspond to the levels of integration of the software system, such as component testing, integration testing, system testing, and acceptance testing. Defects and failures can occur and be detected at any test level, depending on the test objectives, the test basis, the test techniques, and the test environment. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.1.2, Testing and Quality1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.1, Testing Principles1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.3.1, Testing in Software Development Lifecycles1

ISTQB® Glossary of Testing Terms v4.0, Failure, Defect, Bug, Environmental Condition, Error, Test Level2

Comprehensive and Detailed Explanation From Exact Extract:

This is a classic application of theDecision Table Testingtechnique.

We are combining two conditions:

Purchase Volume, which has3 equivalence classes:

1 to 100 units → 0%

101 to 1000 units → 5%

More than 1000 units → 10%

Customer Type, which has2 categories:

Frequent Customer = YES → 5% extra

Frequent Customer = NO → 0%

This gives:

3 (bulk discount levels) × 2 (frequent customer options) = 6 unique decision rules

Each combination of these input conditions defines a separate test scenario with its own outcome.

“Decision table testing is used to identify the different combinations of inputs and their associated outputs. Each unique combination of input values defines a rule.”

(ISTQB CTFL Syllabus v4.0, Section 4.2.3 – Decision Table Testing, Page 40)

Thus,Option D (6 decision rules)is the correct answer.

Structural testing is a type of testing that measures its effectiveness by tracking which lines of code were executed by the tests. Structural testing, also known as white-box testing or glass-box testing, is based on the internal structure, design, or implementation of the software. Structural testing aims to verify that the software meets the specified quality attributes, such as performance, security, reliability, or maintainability, by exercising the code paths, branches, statements, conditions, or data flows. Structural testing uses various coverage metrics, such as function coverage, line coverage, branch coverage, or statement coverage, to determine how much of the code has been tested and to identify any untested or unreachable parts of the code. Structural testing can be applied at any level of testing, such as unit testing, integration testing, system testing, or acceptance testing, but it is more commonly used at lower levels, where the testers have access to the source code.

The other options are not correct because they are not types of testing that measure their effectiveness by tracking which lines of code were executed by the tests. Acceptance testing is a type of testing that verifies that the software meets the acceptance criteria and the user requirements. Acceptance testing is usually performed by the end-users or customers, who may not have access to the source code or the technical details of the software. Acceptance testing is more concerned with the functionality, usability, or suitability of the software, rather than its internal structure or implementation. Integration testing is a type of testing that verifies that the software components or subsystems work together as expected. Integration testing is usually performed by the developers or testers, who may use both structural and functional testing techniques to check the interfaces, interactions, or dependencies between the components or subsystems. Integration testing is more concerned with the integration logic, data flow, or communication of the software, rather than its individual lines of code. Exploratory testing is a type of testing that involves simultaneous learning, test design, and test execution. Exploratory testing is usually performed by the testers, who use their creativity, intuition, or experience to explore the software and discover any defects, risks, or opportunities for improvement. Exploratory testing is more concerned with the behavior, quality, or value of the software, rather than its internal structure or implementation. References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 4: Test Techniques, Section 4.3: Structural Testing Techniques, Pages 51-54; Chapter 1: Fundamentals of Testing, Section 1.4: Testing Throughout the Software Development Lifecycle, Pages 11-13; Chapter 3: Static Testing, Section 3.4: Exploratory Testing, Pages 40-41.

A mature software testing company, especially one certified at TMMi level 5, is expected to have well-defined and adaptable processes. These companies recognize that test design techniques should be chosen based on the specific context of the project, including the domain and stakeholder expectations, rather than using a one-size-fits-all approach. This ensures that the testing is effective and aligned with project requirements.

Planning poker is a consensus-based estimation technique used in Agile. It involves team members selecting cards with their estimate for a user story, then discussing the differences in estimates.

Option A:Incorrect. While three-point estimation is valid, planning poker focuses on team consensus rather than individual estimation techniques.

Option B:Incorrect. The goal of planning poker is not to force unanimity but to reach a reasonable consensus.

Option C:Incorrect. Averaging estimates is not how planning poker works.

Option D:Correct. The members with the highest and lowest estimates discuss their reasoning to foster understanding and adjust estimates accordingly in subsequent rounds.

Statement coverage strategyprioritizestest cases with higher statement coverage first, whileresolving dependenciesbefore execution.

TC60 (7%)has thehighest coveragebutdepends on REQ 1, so it should be executedafter its dependency is covered.

TC80 (6%)depends onREQ 2, so it should be prioritizedafter TC40 (REQ 2).

TC40 (5%)andTC90 (5%)should be executed early.

Lower coverage test cases (TC10, TC70, TC30, TC20) should come last.

Thus, the correct order is{TC 60; TC 80; TC 40; TC 90; TC 50; TC 10; TC 70; TC 30; TC 20} (D).

The tests at the bottom layer of the test pyramid run faster than the tests at the top layer of the pyramid because they are more focused, isolated, and atomic. They usually test individual units or components of the software system, such as classes, methods, or functions. They are also easier to maintain and execute, as they have fewer dependencies and interactions with other parts of the system. The tests at the top layer of the test pyramid, on the other hand, are slower because they cover larger pieces of functionalities, such as user interfaces, workflows, or end-to-end scenarios. They also have more dependencies and interactions with other systems, such as databases, networks, or external services. They are more complex and costly to maintain and execute, as they require more setup and teardown procedures, test data, and test environments. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 3.2.1, Test Pyramid1

ISTQB® Glossary of Testing Terms v4.0, Test Pyramid2

During the review planning phase of a formal review process, decisions are made regarding which standards and procedures will be followed. This planning ensures that the review process is structured, consistent, and aligned with organizational or project-specific guidelines, thereby enhancing the effectiveness and reliability of the review outcomes.

The question is about selecting the correct test values for x based on equivalence partitioning. Equivalence partitioning is a software test design technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived. In this case, the given equivalence classes are:

(x \leq -100)

(-100 < x < 100)

(100 \leq x < 1000)

(x \geq 1000)

Option D provides a value from each of these partitions:

For (x \leq -100), it gives -1000.

For (-100 < x < 100), it gives -100 and 100.

For (100 \leq x < 1000), it gives 500.

For (x \geq 1000), it gives 1500.

So, option D covers all four given equivalence classes with appropriate values.

The tool described in the question supports the automated creation and installation of builds and the execution of various types of automated tests. This aligns with the practices and tools typically found in DevOps environments, which aim to integrate and automate the processes between software development and IT teams. DevOps tools facilitate continuous integration (CI) and continuous delivery (CD), enabling automated building, testing, and deployment of applications. Therefore, the correct answer is that this is an example of DevOps related tools​​.

BDD emphasizes collaboration between developers, testers, and business stakeholders to define system behavior in a readable format (A). It typically uses theGiven-When-Thensyntax. Unlike unit testing (B), BDD is at a higher level of abstraction. It does not focus solely on non-functional testing (C) and encourages early testing rather than post-development validation (D).

This answer is correct because in Agile software development, work product documentation, such as user stories, acceptance criteria, or test cases, tends to be lightweight and concise, as the focus is on working software and frequent communication rather than comprehensive documentation. Manual tests tend to be often unscripted, as they are often produced using experience-based test techniques, such as error guessing or exploratory testing, which rely on the tester’s skills, knowledge, and creativity to find defects and provide feedback. References: ISTQB Foundation Level Syllabus v4.0, Section 3.1.1.2, Section 3.2.1.2

Test-driven development is not an example of a typical generic skill required for testing, but rather an example of a specific technical skill or a development practice that may or may not be relevant for testing, depending on the context and the objectives of the testing activities. Test-driven development is an approach to software development and testing, in which the developers write automated unit tests before writing the source code, and then refactor the code until the tests pass. Test-driven development can help to improve the quality, the design, and the maintainability of the code, as well as to provide fast feedback and guidance for the developers. However, test-driven development is not a skill that is generally expected or needed for testers, especially for testers who are not involved in unit testing or who do not have access to the source code. The other options are examples of typical generic skills required for testing, which are skills that are applicable and beneficial for testing in any context or situation, regardless of the specific testing techniques, tools, or methods used. The typical generic skills required for testing include:

Be able to use test management tools and defect tracking tools: These are tools that help testers to plan, organize, monitor, and control the testing activities and resources, as well as to record, track, analyze, and resolve the defects detected during testing. These tools can improve the efficiency, the effectiveness, and the communication of the testing process, as well as to provide traceability, metrics, and reports for the testing outcomes.

Be able to communicate defects and failures to developers as objectively as possible: This is a skill that involves the ability to report and describe the defects and failures found during testing in a clear, concise, accurate, and unbiased manner, using relevant information, evidence, and terminology, without making assumptions, judgments, or accusations. This skill can facilitate the collaboration, the understanding, and the resolution of the defects and failuresbetween the testers and the developers, as well as to prevent conflicts, misunderstandings, or blame games.

Possess the necessary social skills that support effective teamwork: These are skills that involve the ability to interact, cooperate, and coordinate with other people involved in or affected by the testing activities, such as the test manager, the test team, the project manager, the developers, the customers, the users, etc. These skills can include communication, negotiation, leadership, motivation, feedback, conflict resolution, etc. These skills can enhance the quality, the productivity, and the satisfaction of the testing process, as well as to foster a positive and constructive testing culture. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.1.1, Testing and the Software Development Lifecycle

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.1.2, Testing and Quality

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.1, Testing Principles

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.2, Testing Policies, Strategies, and Test Approaches

ISTQB® Glossary of Testing Terms v4.0, Test-driven Development, Test Management Tool, Defect Tracking Tool, Defect Report, Failure, Social Skill2

Configuration management (B)ensures thatversions of software and test artifactsare properly tracked, stored, and retrievable. It allows teams to:

Restoreearlier versions of software and test work products

Maintaintraceability between requirements, tests, and code

Avoid discrepancies due tomismanaged versions

(A) is incorrectbecause defect managementtracks issues but does not restore versions.

(C) is incorrectbecause change managementcontrols changes but does not track past versions.

(D) is incorrectbecause risk managementassesses risks but does not manage software versions.

Effective configuration management ensures the ability to roll back changesand maintain system stability.

Test-Driven Development (TDD) includes refactoring as a key practice. After writing tests and the code to satisfy those tests, refactoring is performed to improve the code and test quality without changing the functionality. This continuous process helps maintain clean, efficient, and manageable code.