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ISTQB-Foundation Level Exam Sample Questions (Q337-Q342):

NEW QUESTION # 337
A test manager defined the following test levels in her test plan; Component, System and Acceptance.
Which Software Development lifecycle is the Test Manager most likely following?

A. V-Model
B. Waterfall
C. Agile
D. Prototyping

Answer: A

Explanation:
The test manager is most likely following the V-model for software development. The V-model is a software development model that defines four testing levels that correspond to four development phases: component testing corresponds to component design, integration testing corresponds to architectural design, system testing corresponds to system requirements specification, and acceptance testing corresponds to user requirements specification. The V-model also defines the test planning and test execution activities for each testing level. Agile is a software development model that follows an iterative and incremental approach, where testing is integrated into each iteration and adapts to changing requirements and feedback. Waterfall is a software development model that follows a sequential and linear approach, where testing is performed after the development phase is completed. Prototyping is a software development model that involves creating a simplified version of the software to elicit user feedback and validate requirements before developing the final product. Verified Reference: A Study Guide to the ISTQB Foundation Level 2018 Syllabus - Springer, page 18.

NEW QUESTION # 338
For a given set of test-cases, which of the following is a benefit of running these tests with a test automation tool?

A. Test coverage is increased
B. The time spent on repetitive tasks is reduced
C. The total cost of the test project always decreases
D. The number of found bugs is reduced

Answer: B

NEW QUESTION # 339
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 measure and communicate test coverage to all stakeholders.
D. Using Testing Quadrants, the test manager is able to communicate potential product risk 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 # 340
For withdrawing money tram an Automated Teller Machine (ATM), the following conditions are required:
- The bank card is valid
- The PIN code is correct
- Money is available in the user's account
The following are some possible interactions between the user and the ATM:
- The entered card is invalid The card is rejected
- The PIN code is wrong The ATM asks for another PIN code
- The requested amount is more than available in the user's account: The ATM asks for another amount
- The requested amount is available in the user's account The ATM dispenses the money Which test design technique should be used to cover all possible combinations of the in put conditions?

A. Boundary value analysis
B. Use case based testing
C. Decision table
D. Equivalence class partitioning

Answer: C

Explanation:
A decision table is a technique that should be used to cover all possible combinations of input conditions for withdrawing money from an Automated Teller Machine (ATM). A decision table shows combinations of inputs and/or stimuli (causes) with their associated outputs and/or actions (effects). A decision table consists of four quadrants: conditions (inputs), actions (outputs), condition entries (values) and action entries (results). A decision table can be used to test components that have multiple inputs and outputs that depend on logical combinations of conditions. For example, for testing the ATM, we can identify three input conditions: the bank card is valid, the PIN code is correct, and money is available in the user's account. We can also identify four output actions: the card is rejected, the ATM asks for another PIN code, the ATM asks for another amount, and the ATM dispenses the money. A decision table can show all possible combinations of these conditions and actions in a systematic way.
Use case based testing is not a technique that can cover all possible combinations of input conditions for withdrawing money from an ATM. Use case based testing is a technique that verifies that a software product or system meets its specified requirements or user stories by executing realistic scenarios or workflows. Use case based testing can be used to test components that have complex or dynamic interactions with users or other systems. For example, for testing the ATM, we can identify several use cases, such as withdraw money, check balance, transfer money, etc.Each use case can have one or more scenarios that describe the steps and outcomes of the interaction. However, use case based testing may not cover all possible combinations of input conditions, as some scenarios may be omitted or overlooked.
Boundary value analysis is not a technique that can cover all possible combinations of input conditions for withdrawing money from an ATM. 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 test components that have input values that can be divided into partitions of equivalent data. For example, for testing the ATM, we can identify boundary values for the input amount, such as the minimum and maximum amount allowed by the system or the user's account. However, boundary value analysis may not cover all possible combinations of input conditions, as some conditions may not have boundary values or may not be related to input values.
Equivalence class partitioning is not a technique that can cover all possible combinations of input conditions for withdrawing money from an ATM. Equivalence class 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 class partitioning can be used to test components that have input values that can be divided into partitions of equivalent data. For example, for testing the ATM, we can identify equivalence partitions for the input amount, such as valid amount (within the range allowed by the system and the user's account) and invalid amount (outside the range allowed by the system or the user's account). However, equivalence class partitioning may not cover all possible combinations of input conditions, as some conditions may not be related to input values or may have more than two partitions. Verified References: [A Study Guide to the ISTQB Foundation Level 2018 Syllabus - Springer], Chapter 4, page 34-46.

NEW QUESTION # 341
A program is used to control a manufacturing line (turn machines on and off. start and stop conveyer belts, add raw materials to the flow. etc.). Not all actions are possible at all times. For example, there are certain manufacturing stages that cannot be stopped - unless there is an emergency. A tester attempts to evaluate if all such cases (where a specific action is not allowed) are covered by the tests.
Which coverage metric will provide the needed information for this analysis?

A. Statement coverage
B. Code coverage
C. Data flow coverage
D. Branch Coverage

Answer: D

Explanation:
Branch coverage is a type of structural coverage metric that measures the percentage of branches or decision outcomes that are executed by the test cases. A branch is a point in the code where the control flow can take two or more alternative paths based on a condition. For example, an if-else statement is a branch that can execute either the if-block or the else-block depending on the evaluation of the condition. Branch coverage ensures that each branch is taken at least once by the test cases, and thus reveals the behavior of the software under different scenarios. Branch coverage is also known as decision coverage or all-edges coverage.
Branch coverage is suitable for testing the cases where a specific action is not allowed, because it can verify that the test cases cover all the possible outcomes of the conditions that determine the action. For example, if the program has a condition that checks if the manufacturing stage can be stopped, then branch coverage can ensure that the test cases cover both the cases where the stage can be stopped and where it cannot be stopped.
This way, branch coverage can help identify any missing or incorrect branches that may lead to undesired or unsafe actions.
The other options are not correct because they are not suitable for testing the cases where a specific action is not allowed. Code coverage is a general term that encompasses various types of coverage metrics, such as statement coverage, branch coverage, data flow coverage, etc. Code coverage does not specify which type of coverage metric is used for the analysis. Data flow coverage is a type of structural coverage metric that measures the percentage of data flow paths that are executed by the test cases. A data flow path is a sequence of statements that define, use, or kill a variable. Data flow coverage is useful for testing the correctness and completeness of the data manipulation in the software, but not for testing the conditions that determine the actions. Statement coverage is a type of structural coverage metric that measures the percentage of statements or lines of code that are executed by the test cases. Statement coverage ensures that each statement is executed at least once by the test cases, but it does not reveal the behavior of the software under different scenarios.
Statement coverage is a weaker criterion than branch coverage, because it does not account for the branches or decision outcomes in the code. References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 4: Test Techniques, Section 4.3: Structural Testing Techniques, Pages 51-54.

NEW QUESTION # 342
......

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