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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #77
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #77: Real Exam Question with Answer & Explanation
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Submitted by tom_us· Apr 18, 2026ML model development
Question
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?
Options
- 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.
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Topics
#Hyperparameter tuning#PyTorch#Google Cloud AI Platform#Custom containers