Google Cloud Generative AI Leader — Question 21

A company trains a generative AI model designed to classify customer feedback as positive, negative, or neutral. However, the training dataset disproportionately includes feedback from a specific demographic and uses outdated language norms that don’t reflect current customer communication styles. When the model is deployed, it shows a strong bias in its sentiment analysis for new customer feedback, misclassifying reviews from underrepresented demographics and struggling to understand current slang or phrasing. What type of model limitation is this?

Answer options

• A. Edge case
• B. Data dependency
• C. Hallucination
• D. Overfitting

Correct answer: B

Explanation

The correct answer is B, as the model's performance is heavily influenced by the training data, which is not representative of the entire customer base. The other options do not accurately capture the essence of the model's limitations; edge cases refer to uncommon situations, hallucination involves generating false information, and overfitting pertains to the model being too tailored to the training data without generalizing well.