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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 76 of 280

Single answer
You are working on a classification problem with time series data. After conducting just a few experiments using random cross-validation, you achieved an Area Under the Receiver Operating Characteristic Curve (AUC ROC) value of 99% on the training data. You haven’t explored using any sophisticated algorithms or spent any time on hyperparameter tuning. What should your next step be to identify and fix the problem?
AAddress the model overfitting by using a less complex algorithm and use k-fold cross-validation.
BAddress data leakage by applying nested cross-validation during model training.
CAddress data leakage by removing features highly correlated with the target value.
DAddress the model overfitting by tuning the hyperparameters to reduce the AUC ROC value.
Correct Answer: B

Address data leakage by applying nested cross-validation during model training.

Explanation

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