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Model - poly processing is a structured approach to processing data that involves using multiple processing units called models in parallel.
Any organization that uses poly processing in their data processing activities may be required to file model - poly processing.
Model - poly processing can be filled out by identifying the models used, the data being processed, the processing units involved, and any dependencies between the models.
The purpose of model - poly processing is to improve data processing efficiency and performance by parallelizing processing tasks.
Information such as the models used, data sources, processing units, dependencies, and performance metrics must be reported on model - poly processing.
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