☎  076 959 6407✉  support@quizcrazepro.co.za
Learn. Practice. Build your future.
BlogHelpContact
G

Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 66 of 280

Single answer
Your data science team is training a PyTorch model for image classification based on a pre-trained RestNet model. You need to perform hyperparameter tuning to optimize for several parameters. What should you do?
AConvert the model to a Keras model, and run a Keras Tuner job.
BRun a hyperparameter tuning job on AI Platform using custom containers.
CCreate a Kuberflow Pipelines instance, and run a hyperparameter tuning job on Katib.
DConvert the model to a TensorFlow model, and run a hyperparameter tuning job on AI Platform.
Correct Answer: B

Run a hyperparameter tuning job on AI Platform using custom containers.

Explanation

The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.

About this practice exam

Review 280 Google questions with answers and explanations. Use the navigation to move through the exam at your own pace.