ISTQB Certified Tester AI Testing Practice Test 2026 - Free AI Testing Practice Questions and Study Guide

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AI in UI testing improves robustness by which means?

Focusing solely on element IDs that never change.

Relying on pixel-level checks exclusively.

Providing robust object identification through multiple criteria and visual recognition.

Using multiple criteria plus visual recognition makes UI tests robust because it avoids depending on a single, fragile locator. AI can identify elements by a mix of attributes (text, accessibility roles, surrounding structure) and their visual appearance. If an element’s ID or class changes, the test can still locate it by its label, its position relative to nearby elements, or how it looks on the page. Pixel-level checks alone are brittle since rendering varies across devices, resolutions, and themes, while relying on visuals alone would miss non-visible issues. An approach that combines these cues adapts to UI changes and maintains reliable test results.

Eliminating all visual checks.