Using AI to Test the GUI CT-AI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is a potential limitation of AI-based visual validation in GUI testing?

   • AIt only works for text-based GUIs
   • BIt may produce false positives by flagging insignificant visual differences as defects
   • CIt cannot detect any visual defects
   • DIt requires a human to manually compare every screenshot
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2. 12foundation · easy

   What is the purpose of visual validation in GUI testing?

   • ATo ensure the GUI code is well-documented
   • BTo validate the accessibility of the GUI for disabled users
   • CTo compare the actual appearance of the GUI against an expected baseline to detect visual defects
   • DTo test the performance of the GUI under load
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4. 13foundation · easy

   In the context of GUI testing, what is a typical use of natural language processing (NLP)?

   • ATo identify visual defects in screenshots
   • BTo convert user stories or test descriptions into executable test steps
   • CTo predict the likelihood of a test failure
   • DTo automatically fix broken test scripts
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5. 14expert · hard

   A team is using AI-based visual validation to test a web application. The tool is generating many false positives because of browser-specific rendering differences (e.g., font rendering, anti-aliasing). The team wants to reduce false positives without missing real defects. What is the most effective approach?

   • ATrain the AI model on screenshots from multiple browsers to learn which differences are acceptable.
   • BIncrease the pixel tolerance to ignore all minor differences.
   • CUse a single browser for all testing to avoid cross-browser differences.
   • DUse NLP to analyze the page content and ignore text differences.
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6. 15expert · hard

   A team is using an AI-based test oracle to validate the behavior of a GUI. The oracle sometimes flags correct behavior as anomalous, causing unnecessary investigations. The team wants to reduce these false alarms while maintaining the oracle's ability to catch real defects. What is the best approach?

   • AUse a different AI technique, such as computer vision, instead of the oracle.
   • BDisable the oracle and rely on manual verification.
   • CRetrain the oracle with a larger and more diverse dataset of correct behaviors.
   • DIncrease the anomaly detection threshold to be more lenient.
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