ISTQB CTAL-TTA Exam With Confidence Using Practice Dumps

Analysis:

To determine the correct keyword-driven input table for testing the enhancement to the social media application, we need to ensure the table adequately covers the following scenarios:

Adding existing members to a group.

Attempting to add non-existing members to a group and handling the error.

Removing members from a group.

Deleting groups only if no members are attached.

A. (Image A) - Assuming Image A correctly represents these scenarios.

Adding Members: The table should include steps to add both valid (existing) and invalid (non-existing) members to a group, ensuring the application correctly handles both scenarios.

Removing Members: The table should include steps to remove members from a group.

Deleting Groups: The table should include a scenario where a group with no members is deleted successfully.

References:

The ISTQB CTAL-TTA syllabus and standard keyword-driven testing practices emphasize the importance of comprehensive test coverage for new enhancements.

Sources:

ISTQB-CTAL-TTA Syllabus

General knowledge on keyword-driven testing.

Analyzing the given pseudocode for potential anomalies in data flow:

Declare C, F, Z Decimal Set Z = 32 Read F Set C = (F-Z) * 5/9 Free C, F, Z Print F

The potential anomaly is with variable F. It is used after being freed, which typically indicates an error in managing the variable's lifecycle within the code.

Explanation: Freeing a variable typically indicates that it is no longer available for use, but F is used after this operation, which could result in undefined behavior or errors.

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.