Topic 1 Question 61
You are using transfer learning to train an image classifier based on a pre-trained EfficientNet model. Your training dataset has 20,000 images. You plan to retrain the model once per day. You need to minimize the cost of infrastructure. What platform components and configuration environment should you use?
A Deep Learning VM with 4 V100 GPUs and local storage.
A Deep Learning VM with 4 V100 GPUs and Cloud Storage.
A Google Kubernetes Engine cluster with a V100 GPU Node Pool and an NFS Server
An AI Platform Training job using a custom scale tier with 4 V100 GPUs and Cloud Storage
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コメント(8)
- 正解だと思う選択肢: D
ans: D
A, C => local storage, NFS... discarded. Google encourages you to use Cloud Storage. B => could do the job, but here I would focus on the "daily training" thing, because Vertex AI Training jobs are better for this. Also I think that Google usually encourages to use Vertex AI over VMs.
👍 7wish00352022/12/15 It seems D to me.
👍 4ares812022/12/07- 正解だと思う選択肢: D
it seems D
👍 3hiromi2022/12/16
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