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Google Professional Data Engineer Actual Exam Questions

307 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 156 of 307

Single answer
Your team is working on a binary classification problem. You have trained a support vector machine (SVM) classifier with default parameters, and received an area under the Curve (AUC) of 0.87 on the validation set. You want to increase the AUC of the model. What should you do?
APerform hyperparameter tuning
BTrain a classifier with deep neural networks, because neural networks would always beat SVMs
CDeploy the model and measure the real-world AUC; it's always higher because of generalization
DScale predictions you get out of the model (tune a scaling factor as a hyperparameter) in order to get the highest AUC
Correct Answer: A

Perform hyperparameter tuning

Explanation

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