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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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B is still correct as now scale-tier will be replaced by the exact machine config instead
B is correct however this parameter looks like it is being deprecated.
he scale-tier parameter in AI Platform determines the computing resources (e.g., CPU, GPU, or TPU) that are allocated for your training job. By increasing the scale-tier from basic to a more powerful tier (e.g., standard, premium, or custom), you can allocate more resources (like GPUs or TPUs) for your job. This will significantly reduce training time, especially for LSTM-based models that benefit from parallel processing on GPUs or TPUs.