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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #107

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #107: Real Exam Question with Answer & Explanation

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Submitted by hans_de· Apr 18, 2026ML model development

Question

You are training an object detection machine learning model on a dataset that consists of three million X-ray images, each roughly 2 GB in size. You are using Vertex AI Training to run a custom training application on a Compute Engine instance with 32-cores, 128 GB of RAM, and 1 NVIDIA P100 GPU. You notice that model training is taking a very long time. You want to decrease training time without sacrificing model performance. What should you do?

Options

  • AIncrease the instance memory to 512 GB and increase the batch size.
  • BReplace the NVIDIA P100 GPU with a v3-32 TPU in the training job.
  • CEnable early stopping in your Vertex AI Training job.
  • DUse the tf.distribute.Strategy API and run a distributed training job.

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Topics

#Early stopping#Training optimization#Model performance#Vertex AI Training
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