Which of the following decisions is BEST as a test approach for the described situation?

The ISTQB CT-AI syllabus emphasizes that testing AI-based systems requirescross-functional collaborationandexperience-based testingwhen parts of the team lack domain knowledge. In this scenario, the ML expert understands ML and dataset preparation but lacks knowledge ofcamera system behavior, the device’s operational data pipeline, and end-user workflows. The remainder of the team understands the domain and system testing but not ML. Section4.4 – Human Factors and AI Testingand4.3 – System Testing of AI Componentshighlight that when domain understanding is unevenly distributed,experience-based testing conducted by the full team(testers, developers, domain experts) is the most effective approach. This ensures that AI outputs align with actual user expectations and system behavior. OptionCaligns exactly with this principle.

Option A is too limited and does not address the need to validate ML integration. Option B is incorrect because reusing old test cases overlooks AI-specific risks in the operating data pipeline. Option D is useful but focuses only on data representativeness, not system-level user validation. Therefore,Option Cis the best, syllabus-aligned test approach.