CTAL-TTA Exam Dumps : Certified Tester Advanced Level Technical Test Analyst

To achieve 100% decision coverage, we need to ensure that every decision (if statement) in the code has been tested for both true and false outcomes. Let's analyze the code and count the decisions:

IF (Room_price > 200)

IF (Loyalty_level = Platinum) inside Room_price > 200

ELSE within the same decision above

IF (Loyalty_level = Gold) inside the ELSE of decision 2

IF (Room_price > 150)

IF (Loyalty_level = Platinum) inside Room_price > 150

ELSE within the same decision above

IF (Discount_factor < 100%)

To cover all these decisions, we need test cases for each possible combination:

Room_price > 200 and Loyalty_level = Platinum.

Room_price > 200 and Loyalty_level = Gold.

Room_price > 200 and Loyalty_level not Platinum or Gold.

Room_price <= 200 and Room_price > 150, and Loyalty_level = Platinum.

Room_price <= 200 and Room_price > 150, and Loyalty_level not Platinum.

Room_price <= 150.

From these scenarios, we can see that the minimum number of test cases required to achieve 100% decision coverage is four:

Test with Room_price > 200 and Loyalty_level = Platinum (tests decision 1 true, 2 true, and 8 true).

Test with Room_price > 200 and Loyalty_level = Gold (tests decision 1 true, 2 false, 4 true, and 8 true).

Test with Room_price > 200 and Loyalty_level not Platinum or Gold (tests decision 1 true, 2 false, 4 false, and 8 true).

Test with Room_price <= 200 and Room_price > 150, and Loyalty_level = Platinum (tests decision 1 false, 5 true, 6 true, and 8 true).

Test with Room_price <= 200 and Room_price > 150, and Loyalty_level not Platinum (tests decision 1 false, 5 true, 6 false, and 8 true).

Test with Room_price <= 150 (tests decision 1 false, 5 false, and 8 false).

Given that these six cases test all branches, four test cases are required to ensure that all decisions are covered at least once.

Therefore, the correct answer is A. 4.

API testing tends to focus on individual inputs more than combinations of inputs. This is because APIs, as the intermediary layers of software, often handle specific types of data input and output rather than user interaction sequences. GUI testing, on the other hand, involves testing the interface with which the user interacts, which frequently includes testing various combinations of user inputs and sequences to simulate actual user scenarios. Thus, GUI testing typically requires checking the integration and behavior of elements in combination to ensure they work together as expected in a user environment .

In the scenario described, the project involves developing a system to control traffic lights at busy road junctions, focusing on safety-critical operations but deemed low-risk due to the team's high level of expertise.

Option B (4), characterized by ♦ (recommended) for Test Automation and ♦+ (highly recommended) for Exploratory Testing (manual) with ♦ (recommended) for Black-box Testing, is the most fitting for this project because:

Test Automation (Recommended): For a system managing traffic lights, automated tests can efficiently handle repetitive testing of scenarios involving various traffic densities and flow rates, ensuring consistent and thorough checking of system responses under controlled conditions.

Exploratory Testing (Highly Recommended): Given the critical nature of the system, exploratory testing allows testers to creatively challenge the system beyond pre-defined test cases, identifying potential real-world issues that might not be evident in scripted testing. This is particularly vital in safety-critical systems where unexpected behavior could have severe consequences.

Black-box Testing (Recommended): Black-box testing will ensure that the system meets its external specifications and behaves correctly as perceived from the outside, without the testers needing to know the internal workings. This is essential for verifying that the system's functionality aligns with its intended use in real-world traffic scenarios.

This approach, combining thorough automation with exploratory insights and specification-based validation, supports the project's safety-critical nature while leveraging the team’s expertise to manage the identified low risk .