Which of the following scenarios does NOT typically benefit from grid computing?

Grid computing is a distributed computing framework that enables multiple computers to work together on tasks that require significant computational power. It is particularly advantageous for scenarios that involve large datasets, complex computations, or tasks that can be parallelized, as it allows for efficient resource utilization and faster processing times.

In the scenario of simple file sharing, the task does not require the extensive computation and processing power that grid computing offers. File sharing typically involves transferring data from one location to another and does not benefit from the distributed architecture designed to handle heavy computational loads. There are no complex calculations or data analyses that would necessitate the use of multiple systems working simultaneously.

Conversely, data analysis in genomics, rendering animations for films, and weather forecasting models all involve substantial amounts of data and processing power that can be divided among multiple systems. These scenarios typically benefit from the grid computing framework because they require significant computational capabilities, making them better suited for the advantages that grid computing provides.