How can you resolve an "outofmemoryerror" in the Brainspace application?

To resolve an "OutOfMemoryError" in the Brainspace application, adding RAM to the application server or setting inactive datasets is an effective approach. This error typically occurs when the application exceeds the available memory allocated to it while processing data. By increasing the RAM, you provide the application with more resources to handle larger datasets and complex queries, which can alleviate memory pressure.

Setting inactive datasets can also help reduce memory usage by allowing the application to focus on active datasets that are currently being analyzed. This approach lowers the overall memory demand, ensuring that the application runs more efficiently without hitting memory limits.

The other options might not adequately address the root cause of the memory issue. Increasing the storage limit does not solve memory allocation problems, restarting the application server may temporarily alleviate the issue but is not a permanent fix, and deleting all datasets is not a practical or necessary solution, as it can lead to data loss and does not address how to manage memory effectively in future operations.