A team is testing a mobile app and wants to automatically detect subtle visual regressions, such as a misplaced icon or a color change that is barely noticeable to the human eye. Which AI-based approach is most suitable?

Use NLP to parse the UI hierarchy and compare text labels.

Use model-based testing to generate screenshots from the state model and compare them.

Use pixel-by-pixel comparison of screenshots to find any difference.

Use computer vision to compare the visual layout and detect anomalies in the rendered UI.

A test automation tool uses object detection to find GUI elements. The tool is failing to detect a button when it is in a disabled state because the disabled button looks different from the enabled one. The team wants to ensure the tool can interact with both states. What is the best approach?

Train the object detection model with both enabled and disabled states of the button.

Use self-healing to automatically adjust the locator when the button is disabled.

Use model-based testing to generate tests that only use the enabled state.

Use NLP to read the button's text and interact with it by name.

What is the role of a test oracle in GUI testing?

To determine whether the actual GUI behavior matches the expected behavior

To execute the test cases automatically

To generate test data for the GUI

To report defects to the development team

A team is implementing self-healing GUI tests. They notice that the self-healing algorithm sometimes incorrectly maps a broken locator to a different, but visually similar, element, leading to false test passes. What is the most effective way to prevent this?

Disable self-healing and manually update all locators.

Increase the number of alternative locators the algorithm tries.

Require human approval before a self-healed locator is permanently accepted.

Use a more aggressive self-healing algorithm that updates locators faster.

A team is using an AI-based visual validation tool. The tool sometimes misses real visual defects because it has been trained to tolerate minor differences. What is the most likely cause of this issue?

The AI model is too lenient in its tolerance for visual differences.

The tool is generating too many false positives.

The tool is not using NLP to analyze the visual content.

The tool is using computer vision instead of pixel-by-pixel comparison.

Certified Tester AI Testing

Domain 11Objective 7

Using AI to Test the GUI CT-AI Practice Questions (Page 2)

Part of the Domain 11: Using AI for Testing domain, which makes up ~11% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–4 in this domain), expect 1–1 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

8concepts

Questions 6–10

6application · medium
A team is testing a mobile app and wants to automatically detect subtle visual regressions, such as a misplaced icon or a color change that is barely noticeable to the human eye. Which AI-based approach is most suitable?
Select an answer first
7expert · hard
A test automation tool uses object detection to find GUI elements. The tool is failing to detect a button when it is in a disabled state because the disabled button looks different from the enabled one. The team wants to ensure the tool can interact with both states. What is the best approach?
Select an answer first
8foundation · easy
What is the role of a test oracle in GUI testing?
Select an answer first
9expert · hard
A team is implementing self-healing GUI tests. They notice that the self-healing algorithm sometimes incorrectly maps a broken locator to a different, but visually similar, element, leading to false test passes. What is the most effective way to prevent this?
Select an answer first
10application · medium
A team is using an AI-based visual validation tool. The tool sometimes misses real visual defects because it has been trained to tolerate minor differences. What is the most likely cause of this issue?
Select an answer first

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