
Certified Tester AI Testing
Domain 2Objective 2
Autonomy CT-AI Practice Questions (Page 1)
Part of the Domain 2: Quality Characteristics for AI-Based Systems domain, which makes up ~12% of our current practice bank. ISTQB does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–5 in this domain), expect 1–1 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)
24questions here
5free pages
6concepts
Questions 1–5
- 1
A team is validating an autonomous system for space exploration. The system must operate in environments that cannot be fully replicated on Earth. The team is considering using simulation and scenario-based testing. Which approach is most effective for validating the system's behavior in these unique environments?
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Why is simulation a valuable approach for verifying autonomous systems?
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A hospital is deploying an AI-based system to assist in diagnosing medical images. The system provides a diagnosis, but a radiologist must confirm it before it is communicated to the patient. This is an example of:
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A team is testing an autonomous system for self-driving cars. They are struggling to create test cases that cover all possible interactions with pedestrians, cyclists, and other vehicles. Which testing challenge is this?
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What is the primary purpose of human oversight in an autonomous system?
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