CT-AI: Certified Tester AI Testing Version 2.0

By ISTQB · Question Mode

QuestionQ30

Machine Learning (ML) – Overview

You have been asked to give your opinion on the ML approach for a new age-verification system. A training dataset is available that contains many face pictures and each subject’s age.

When new users sign up for a mobile app, they must take a picture of their face. If the system believes they are under 18 years old, it will ask them to provide a picture of their passport to prove their age.

Which ONE of the following approaches do you expect is MOST likely to succeed?

Explanation

Face images paired with subjects’ exact ages form labeled data with a continuous numerical target, so supervised regression can learn to estimate a user’s age. The estimated age can be evaluated against the 18-year threshold, and passport verification supplies further observed age labels for retraining.

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