ISTQB-CTFL Exam Dumps - ISTQB Foundation Level Questions and Answers

In software testing terminology, a failure is an observable deviation of the software from its expected behavior. A defect (or bug) is the cause of the failure in the software's code. In this case, the observed slowdown is the failure, while the underlying memory leak in the application code is the defect causing this failure. This distinction is clearly outlined in the ISTQB CTFL Syllabus v4.0, which differentiates between failures (observable issues) and defects (underlying issues in the code)​​.

Equivalence partitioning is a technique that divides the input data and output results of a software component into partitions of equivalent data. Each partition should contain data that is treated in the same way by the component. Equivalence partitioning can be used to reduce the number of test cases by selecting one representative value from each partition. Equivalence partitioning is suitable for testing the price computation, as it can identify different partitions based on the passenger type, the travelling type, the distance and the kind of transport. Equivalence partitioning is not statement coverage, which is a technique that measures how many executable statements in a source code are executed by a test suite. Statement coverage is not appropriate for testing the price computation, as it does not consider the input data or output results. Equivalence partitioning is not state transition testing, which is a technique that models how a system transitions from one state to another depending on events or conditions. State transition testing is not relevant for testing the price computation, as it does not involve any states or transitions. Equivalence partitioning is not use case testing, which is a technique that tests how users interact with a system to achieve a specific goal. Use case testing is not applicable for testing the price computation, as it does not focus on a single function or component. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 37-38.

Testware is a term that refers to all artifacts produced during the testing process, such as test plans, test cases, test scripts, test data, test results, defect reports, etc. The following statements about testware are correct:

II) All the testware should be subject to Configuration Management. Configuration management is a process that establishes and maintains consistency among work products throughout their life cycle. Configuration management applies to all testware, as it helps ensure their quality and consistency, track their changes and defects, control their versions and access rights, and link them to other artifacts.

III) The testware at the end of the project should be transferred to the organization responsible for maintenance. Maintenance testing is testing performed on a software product after delivery to correct defects or improve performance or other attributes. Maintenance testing requires testware from previous testing activities or phases, such as test cases, test data, test results, etc. Therefore, the testware at the end of the project should be transferred to theorganization responsible for maintenance testing, such as support team or maintenance team. The following statements about testware are incorrect:

I) When closing the test activities, all the testware resources can be uninstalled and released. This statement is incorrect, as some testware resources may still be needed for future testing activities or phases, such as maintenance testing or regression testing. Therefore, when closing the test activities, some testware resources should be archived and stored for future use, while others can be uninstalled and released.

IV) The developers are responsible for the correct installation of the testware. This statement is incorrect, as the testers are responsible for the correct installation of the testware. The testers should ensure that they have access to all necessary testware resources and that they are installed and configured properly before starting the test execution. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, Chapter 6, page 58-61.

To achieve the highest level of transition coverage, one must consider all the possible transitions between the states in the given state model of the sales order software. The transitions in the sequence provided in Option B - "IN PRODUCTION -> SHIPPED -> INVOICED -> CANCELLED -> PLACED -> IN PRODUCTION" cover all the states and transitions effectively. This covers the transitions from IN PRODUCTION to SHIPPED, SHIPPED to INVOICED, INVOICED to CANCELLED, CANCELLED to PLACED, and PLACED to IN PRODUCTION, thereby maximizing the transition coverage.References:

ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 4.3.5.

Defect clustering is a testing principle that states that a small number of modules contain most of the defects detected during pre-release testing, or are responsible for most of the operational failures. Defect clustering can be explained by Pareto’s principle (also known as the 80-20 rule), which states that approximately 80% of the problems are found in 20% of the modules. Defect clustering suggests a change to the current test strategy for the next test cycle, as it implies that more effort should be allocated to test the modules that have shown high defect density or criticality. Pesticide paradox is another testing principle that states that if the same tests are repeated over and over again, eventually they will no longer find any new defects. Pesticide paradox suggests a change to the current test strategy for the next test cycle, but not based on defect clustering, but rather on test diversity and coverage. Early testing is a testing principle that states that testing activities should start as early as possible in the software development life cycle and should be focused on defined objectives. Early testing does not suggest a change to the current test strategy for the next test cycle, but rather a proactive approach to prevent defects from occurring or propagating. Absence-of-errors fallacy is a testing principle that states that finding and fixing defects does not help if the system built is unusable and does not fulfill the users’ needs and expectations. Absence-of-errors fallacy does not suggest a change to the current test strategy for the next test cycle, but rather a focus on quality attributes and user requirements. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, Chapter 1, page 9-10.

Equivalence partitioning and boundary value analysis are test design techniques that are most appropriate for testing the login page of a web site. The page contains fields for user name and password, which are input values that can be divided into partitions of equivalent data. Equivalence partitioning is a technique that divides the input data and output results of a software component into partitions of equivalent data. Each partition should contain data that is treated in the same way by the component.Equivalence partitioning can be used to reduce the number of test cases by selecting one representative value from each partition. Boundary value analysis is a technique that tests boundary values between partitions of equivalent data. Boundary values are values at the edge of an equivalence partition or at the smallest incremental distance on either side of an edge. Boundary value analysis can be used to detect defects caused by incorrect handling of boundary conditions. For example, for testing the user name field, we can identify two equivalence partitions: valid user name (existing and correct) and invalid user name (non-existing or incorrect). The boundary values for these partitions are the minimum and maximum length of user name allowed by the system.

Decision table testing and state transition testing are not suitable for testing the login page of a web site, as they are more applicable for testing components that have multiple inputs and outputs that depend on logical combinations of conditions or events. Decision table testing is a technique that shows combinations of inputs and/or stimuli (causes) with their associated outputs and/or actions (effects). State transition testing is a technique that models how a system transitions from one state to another depending on events or conditions.

Exploratory testing and statement coverage are not suitable for testing the login page of a web site, as they are more applicable for testing components that require learning, creativity and intuition or structural analysis. Exploratory testing is an approach to testing that emphasizes learning, test design and test execution at the same time. Exploratory testing relies on the tester’s skills, creativity and intuition to explore the software under test and discover defects. Statement coverage is a type of structural testing that measures how many statements in a program have been executed by a test suite. Statement coverage can be used to assess the adequacy or completeness of a test suite.

Decision coverage and fault attack are not suitable for testing the login page of a web site, as they are more applicable for testing components that have complex logic or potential errors. Decision coverage is a type of structural testing that measures how many decision outcomes in a program have been executed by a test suite. Decision coverage can be used to assess the adequacy or completeness of a test suite. Fault attack is a type of functional testing that deliberately introduces faults into a system in order to provoke failures or errors. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 34-46; Chapter 5, page 47-48.

The principle of early testing is applicable to all recognized software development models, including sequential, iterative, and incremental models. Starting test activities early in the lifecycle helps in identifying and addressing defects as soon as possible, which can save time and costs by preventing defects from propagating to later stages of development. This proactive approach enhances the overall quality and efficiency of the software development process.Reference:ISTQB CTFL Syllabus V4.0, Section 1.3

The requirement specifies that a bonus should be paid if the total amount of sales (TAS) made during the year is 300,000€ or more. The software incorrectly implements this requirement with "IF (TAS = 300,000)" instead of "IF (TAS >= 300,000)". Using boundary value analysis (BVA), which is a common technique in software testing, the three test cases provided (TC1 = 299,999, TC2 = 300,000, and TC3 = 300,001) cover the critical boundary values around the condition.

TC1 tests just below the boundary (299,999),

TC2 tests exactly at the boundary (300,000),

TC3 tests just above the boundary (300,001).

Since the software incorrectly checks for TAS equal to 300,000, only TC2 will fail because the condition is exactly met and highlights the incorrect implementation of the decision logic.

Comprehensive and Detailed In-Depth Explanation:Atest progress reportprovides an overview of testing activities, metrics, and identified risks. It focuses on tracking testing progress rather thanevaluating overall product quality (B), which is typically included in atest summary reportafter testing is completed.

(A) is correctbecause obstacles (challenges) are reported to ensure test execution stays on track.

(C) is correctas test metrics help stakeholders track execution progress.

(D) is correctbecause new or changed risks impact test focus and priorities.

A test progress reporttracks execution and informs stakeholders about ongoing testing activities.

Checklist-based testing is a technique where testers use pre-determined checklists to ensure that important aspects of a work product are evaluated. Over time, these checklists should be reviewed and updated periodically to maintain their effectiveness in detecting defects. As systems evolve, outdated checklists may miss new types of defects, thus diminishing their usefulness. Therefore, statement D is true according to the ISTQB CTFL syllabus​​.