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Google Professional Machine Learning Engineer

▤ 280 Questions◷ 120 Minutes✓ 70% Passing Score▣ Updated: Sep 2026

Question 13 of 280

Single answer
You have trained a deep neural network model on Google Cloud. The model has low loss on the training data, but is performing worse on the validation data. You want the model to be resilient to overfitting. Which strategy should you use when retraining the model?
AApply a dropout parameter of 0.2, and decrease the learning rate by a factor of 10.
BApply a L2 regularization parameter of 0.4, and decrease the learning rate by a factor of 10.
✓CRun a hyperparameter tuning job on AI Platform to optimize for the L2 regularization and dropout parameters. .
DRun a hyperparameter tuning job on AI Platform to optimize for the learning rate, and increase the number of neurons by a factor of 2
✓
Correct Answer: C

Run a hyperparameter tuning job on AI Platform to optimize for the L2 regularization and dropout parameters. .

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