Exam Professional-Data-Engineer Topic 4 Question 167 Discussion

Actual exam question for Google's Professional-Data-Engineer exam
Question #: 167
Topic #: 4
You work on a regression problem in a natural language processing domain, and you have 100M labeled exmaples in your dataset. You have randomly shuffled your data and split your dataset into train and test samples (in a 90/10 ratio). After you trained the neural network and evaluated your model on a test set, you discover that the root-mean-squared error (RMSE) of your model is twice as high on the train set as on the test set. How should you improve the performance of your model?

Suggested Answer: C Vote an answer

by Kevin at Feb 01, 2026, 12:59 PM

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