You work for a large bank that serves customers through an application hosted in Google Cloud that is running in the US and Singapore. You have developed a PyTorch model to classify transactions as potentially fraudulent or not. The model is a three-layer perceptron that uses both numerical and categorical features as input, and hashing happens within the model. You deployed the model to the us-central1 region on nl-highcpu-16 machines, and predictions are served in real time. The model's current median response latency is 40 ms. You want to reduce latency, especially in Singapore, where some customers are experiencing the longest delays. What should you do?
Select one answer.
Purchase Full Access to view answer options & explanation
The first 110 questions in this bank are completely free. Unlock Full Access on the exam page to view all answer choices, verified answers, explanations, and community discussions for all 364 questions.
