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

A Technical Test Analyst is primarily involved in the technical aspects of test preparation and execution. One of their typical activities includes the execution of test cases, particularly those that are automated, and the subsequent analysis of any test failures to identify defects and issues. This activity is more technical than defining business processes or training other analysts, and while making decisions based on a business case may be part of their role, it is not an activity directly related to test automation.

Fault seeding is a method used to evaluate the effectiveness of a testing process. Tools designed for fault seeding intentionally insert known defects into the source code, which are then supposed to be discovered during testing. The main purpose is not to check the input checking capabilities, support specification-based test design techniques, or assess maintainability of the software, but rather to gauge how well the testing process can identify and capture defects. By comparing the number of seeded faults that are found against the total number of faults inserted, test teams can get an insight into the effectiveness of their testing strategies and coverage. This method helps in understanding the detection capabilities of testing efforts and in identifying potential areas for improvement in test processes.

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.