CTAL-TTA Exam Dumps - ISTQB Advance Level Questions and Answers

In this scenario, the risk is related to the anticipated increase in concurrent website views and whether the additional servers will be sufficient to handle the increased load. This situation requires a specific type of non-functional testing to ensure that the system can effectively scale with the increased demand.

Analysis of Options:

Load Testing:

Load testing involves simulating a specified number of users to see how the system performs under expected loads. While this is useful, it is not the best fit for this scenario where the primary concern is future scaling capacity.

Adaptability Testing:

Adaptability testing assesses how well the system adapts to different environments or conditions. This is not directly related to the risk of handling increased concurrent users and is therefore not the best choice.

Scalability Testing (Option C):

Scalability testing specifically evaluates how well the system can scale up or down in response to an increase in load. This type of testing is designed to verify that the system can handle growth in users and data volume effectively, making it the best choice to mitigate the risk described.

Reliability Testing:

Reliability testing focuses on the system's ability to function correctly over time under certain conditions. While reliability is important, it does not directly address the issue of handling increased concurrent usage.

Mitigating the Risk:

Given the risk of the servers potentially not being adequate to handle the increased concurrent website views, scalability testing is the most appropriate type of non-functional testing. It will help determine if the two additional servers, along with the existing one, can support the anticipated growth in user traffic without performance degradation.

References:

The ISTQB CTAL-TTA syllabus and standard non-functional testing practices emphasize the importance of scalability testing when assessing the ability of a system to handle increased load and user concurrency.

Sources:

ISTQB-CTAL-TTA Syllabus

General knowledge on non-functional testing types and their applications.

To achieve full Modified Condition/Decision Coverage (MC/DC), each condition within a decision must be shown to independently affect the outcome of the decision. For the decision IF X < 5 OR Y > 10 THEN, the conditions are:

Condition 1: X < 5

Condition 2: Y > 10

We need to test these conditions in such a way that each condition independently influences the decision outcome. Let's analyze the options:

Option A:

X=4 and Y=7 (X < 5 is true, Y > 10 is false; overall decision true)

X=6 and Y=12 (X < 5 is false, Y > 10 is true; overall decision true)

X=5 and Y=10 (X < 5 is false, Y > 10 is false; overall decision false)

This set achieves full MC/DC coverage because each condition is shown to independently affect the outcome.

Option B:

X=4 and Y=11 (X < 5 is true, Y > 10 is true; overall decision true)

X=7 and Y=10 (X < 5 is false, Y > 10 is false; overall decision false)

This set achieves full MC/DC coverage because it demonstrates both conditions independently affecting the outcome.

Option C:

X=5 and Y=8 (X < 5 is false, Y > 10 is false; overall decision false)

X=2 and Y=12 (X < 5 is true, Y > 10 is true; overall decision true)

X=4 and Y=4 (X < 5 is true, Y > 10 is false; overall decision true)

This set does not fully achieve MC/DC coverage as it does not demonstrate the impact of Y > 10 being false while X < 5 is false.

Option D:

X=3 and Y=10 (X < 5 is true, Y > 10 is false; overall decision true)

X=5 and Y=15 (X < 5 is false, Y > 10 is true; overall decision true)

X=0 and Y=15 (X < 5 is true, Y > 10 is true; overall decision true)

This set does not achieve MC/DC coverage because it does not show the decision outcome when both conditions are false.

Therefore, the correct answer is B. X=4 and Y=11, X=7 and Y=10.