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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
Select one answer.
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Using a custom scale tier in Google Cloud provides the flexibility and control to precisely tailor resources for specific workloads, which is not possible with the predefined configurations of the basic and premium tiers. The main benefits include greater cost optimization, fine-tuned performance, and the ability to accommodate unique or specialized requirements.
Generally deep learning models need more 1 day to train, so option D stands out.
D because you only pay for infra when you use AI Platform(Vertex) and for VM's you pay them as long as they are open. No auto shut down