Which statement about testing levels for AI-based systems is correct?

The correct answer is C. ML model testing ensures that the relevant ML functional performance criteria are met. Section4.3 - Test Levels for AI Systemsclearly defines ML model testing as the level at which testers evaluate whether an ML model fulfills itsfunctional performance criteria, including accuracy, precision, recall, F1, robustness, stability, and fairness. Therefore, Option C is…

Testing of AI-based Systems

Question

Options

AInput data testing checks whether the inputs from the data pipeline are received by the model
BAcceptance testing checks non-functional requirements such as explainability
CML model testing ensures that the relevant ML functional performance criteria are met
DIf AI is offered as a service, system testing includes API tests of the service

How the community answered

(66 responses)

A
5% (3)
B
14% (9)
C
79% (52)
D
3% (2)

Explanation

Section4.3 - Test Levels for AI Systemsclearly defines ML model testing as the level at which testers evaluate whether an ML model fulfills itsfunctional performance criteria, including accuracy, precision, recall, F1, robustness, stability, and fairness. Therefore, Option C is the correct and syllabus-aligned statement.

Topics

#testing levels#ML model testing#acceptance testing#system testing

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