CT-AI: Certified Tester AI Testing Version 2.0

By ISTQB · Question Mode

QuestionQ8

ML – Data

“AterEgo” is a product that uses self-learning to predict a pilot’s behavior in combat situations across various terrains and enemy-aircraft formations. After training, when the model was exposed to real-world data, it was found to perform poorly. A large amount of data gathered from actual fights and combat exercises in real planes was used to train and test the product. In addition, the data underwent quality testing to make it suitable for training and testing purposes.

Which ONE of the following options is LEAST likely to describe a possible reason for the decline in performance, particularly considering the self-learning nature of the AI system?

Explanation

Rapid changes can cause the deployed data or environment to diverge from the trained model; algorithmic bias and an insufficiently specified operating environment can also produce poor real-world behavior. Defining improvement criteria before accepting a model is an evaluation and governance challenge, not a direct likely cause of post-training performance degradation.

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