The ISTQB CT-AI syllabus (Section4.3 – Test Environments for AI Systems) describes that, unlike conventional software testing, testing AI systems may requirespecialized toolsfor analyzing and explaining the decisions of ML models. This includes visualization tools, explainability frameworks, and diagnostic utilities to understand why the AI made a certain prediction. Since AI decisions may be non-transparent, the test environment must supportexplainability, making OptionBcorrect.
Option A is incorrect: the syllabus does not state that an autonomous AI system requires an autonomous test environment. Option C is incorrect because test environments mustnot learn; they must remain stable to avoid unpredictable testing conditions. Option D is incorrect because multi-agent systems often involve stochastic interactions, and determinism is neither required nor realistic.
Thus,Option Bis the syllabus-accurate choice.
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