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Question 113 - Professional Machine Learning Engineer discussion

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You are training an object detection machine learning model on a dataset that consists of three million X-ray images, each roughly 2GB in size. You are using Vertex AI Training to run a custom training application on a Compute Engine instance with 32-cores, 128GB 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?

A.
Increase the instance memory to 512GB and increase the batch size.
Answers
A.
Increase the instance memory to 512GB and increase the batch size.
B.
Replace the NVIDIA P100 GPU with a v3-32 TPU in the training job.
Answers
B.
Replace the NVIDIA P100 GPU with a v3-32 TPU in the training job.
C.
Enable early stopping in your Vertex AI Training job.
Answers
C.
Enable early stopping in your Vertex AI Training job.
D.
Use the tf.distribute.Strategy API and run a distributed training job.
Answers
D.
Use the tf.distribute.Strategy API and run a distributed training job.
Suggested answer: D
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asked 18/09/2024
Daniel Yontz
44 questions
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