ISTQB-CTFL Exam Dumps - ISTQB Certified Tester Foundation Level (CTFL v4.0)

When working on a project with incomplete requirements and under pressure to deploy, exploratory testing is particularly suitable. This type of testing allows testers to use their expertise and intuition to explore the system's functionality and identify defects without needing detailed specifications. Exploratory testing is flexible and can quickly adapt to changes and gaps in the requirements​​.

The critical information missing from the defect report is a detailed description of the defect to enable reproduction. A clear and concise description of the steps taken to reproduce the defect is essential for developers to understand the context and to be able to replicate the issue in their environment. Without this information, it can be challenging to diagnose and fix the defect. The ISTQB CTFL syllabus emphasizes the importance of providing all necessary details in a defect report to facilitate effective communication and resolution.

A test progress report is prepared during a test activity and provides updates on the current status of testing activities, including progress made, issues encountered, and test metrics. A test summary report, on the other hand, is prepared at the end of a test activity and provides a comprehensive overview of the testing carried out, including the final status, test results, defect summaries, and overall conclusions.

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 applied to both input and output values. Based on the given requirement, we can identify two input values: age and weekend. Age should be an integer of 0 or above, and weekend means Friday to Sunday inclusive. The following statement is not correct:

A) Thursday is a valid input boundary value. This statement is not correct, as Thursday is not a boundary value for the input weekend. The boundary values for the input weekend are Friday and Sunday, as they are at the edge of the equivalence partition that represents weekend days. The following statements are correct:

B) A minimum of 6 valid test cases are derived from boundary value analysis based on input age. This statement is correct, as we can derive six valid test cases based on input age by using the minimum and maximum values for each equivalence partition defined by the requirement. The equivalence partitions for input age are: under 7 (0 to 6), 7 to 13 inclusive (7 to 13), and greater than 65 (66 and above). The minimum and maximum values for each partition are: 0 and 6, 7 and 13, and 66 and any value above it.

C) $3.01 is a valid output boundary value. This statement is correct, as $3.01 is a boundary value for the output additional fee. The additional fee can have four possible values depending on the input age: $0 (for visitors aged under 7), $2.40 (for visitors aged 7 to 13 inclusive with a 20% discount), $1.50 (for visitors aged greater than 65 with a 50% discount), and $3 (for visitors aged between 14 and 65). The boundary values for the output additional fee are $0 and $3, as they are at the edge of an equivalence partition or at the smallest incremental distance on either side of an edge. Therefore, $3.01 is a valid output boundary value, as it is at the smallest incremental distance above $3.

D) 7 and 13 are boundary values for the equivalence partition including age 10. This statement is correct, as 7 and 13 are boundary values for the equivalence partition that represents visitors aged 7 to 13 inclusive. This partition includes age 10, which is an internal value within the partition. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 37-38.

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 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