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When creating a budget for Microsoft Azure Machine Learning Studio, take into account not just the computing costs. Day-to-day data storage fees, constant reads and writes operations, and non-utilized disks can also result in extra costs. Moving data from one location to another or out of Azure incurs fees as well. If you do not manage your resources carefully, monitoring logs, security features, idle virtual machines, and overprovisioned resources can slowly but surely inflate your billing amount every month.
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