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Answer: A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a preemptible v3-8 TPU
The correct answer is D: A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a preemptible v3-8 TPU. Preemptible TPUs are significantly more cost-effective, being up to 80% cheaper than non-preemptible TPUs. They may be preempted if Google Cloud needs the resources, but since frequent checkpointing has been implemented, the training process can resume without losing progress. This makes preemptible TPUs a suitable choice for minimizing costs while ensuring the robustness of the long-running model.
Author: LeetQuiz Editorial Team
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You are tasked with developing a TensorFlow model for a financial institution that aims to predict the impact of consumer spending on global inflation. The nature and volume of the data require the model to run for extended periods on various types of hardware. To ensure data integrity and progress continuity, you have integrated frequent checkpointing into the training process. Given that your organization prioritizes cost minimization, which hardware setup should you choose?
A
A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with 4 NVIDIA P100 GPUs
B
A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with an NVIDIA P100 GPU
C
A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a non-preemptible v3-8 TPU
D
A Vertex AI Workbench user-managed notebooks instance running on an n1-standard-16 with a preemptible v3-8 TPU
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