You are deploying a machine learning model for a azure video
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You are deploying a machine learning model for a financial forecasting application that requires batch processing of large volumes of data at the end of each quarter. The deployment must efficiently handle these sporadic, compute-intensive workloads. Which configuration should you choose for the batch deployment?