Which challenge to testing self-learning systems puts you at risk of a data attack?

The correct answer is D. Unexpected changes. The ISTQB CT-AI syllabus describes thatself-learning systems continuously adjust their behaviorduring operation as new data arrives. Section4.1 - Challenges of Testing AI-Based Systemshighlights that such systems are vulnerable todata attacks, particularly through adversarial…

Testing of AI-based Systems

Question

Options

AInadequate specification of the operating environment
BComplex test environment
CInsufficient testing time
DUnexpected changes

How the community answered

(45 responses)

A
4% (2)
B
16% (7)
C
9% (4)
D
71% (32)

Explanation

The ISTQB CT-AI syllabus describes thatself-learning systems continuously adjust their behaviorduring operation as new data arrives. Section4.1 - Challenges of Testing AI-Based Systemshighlights that such systems are vulnerable todata attacks, particularly through adversarial inputs, poisoning, or malicious drift. The risk arises because unexpected changes in the input distribution may alter the learned model in harmful ways. Option D - Unexpected changes corresponds directly to this syllabus-defined risk.

Topics

#data poisoning#self-learning systems#adversarial attacks#security testing

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