GCP ML Engineer Practice Questions - Google Cloud Professional Machine Learning Engineer Exam - Variant 2

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Your team is developing a fraud detection model. The dataset has 99.5% legitimate transactions and 0.5% fraudulent ones. Which technique should you prioritize to handle this class imbalance?

Increase the training data volume by collecting more legitimate transaction examples Use oversampling of the minority class combined with appropriate evaluation metrics like AUPRC Reduce the model complexity to prevent overfitting on the majority class Remove features that are correlated with the majority class

Correct Answer:

Use oversampling of the minority class combined with appropriate evaluation metrics like AUPRC

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