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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 155 of 280

Single answer
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?
AIncrease the instance memory to 512 GB, and increase the batch size.
BReplace the NVIDIA P100 GPU with a K80 GPU 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.
Correct Answer: D

Use the tf.distribute.Strategy API and run a distributed training job.

Explanation

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