If the Data Engine process fails, what happens to ongoing extract refreshes?

When the Data Engine process fails, ongoing extract refreshes will fail as well. This is because the Data Engine is responsible for handling the extraction, transformation, and loading of data. If it is not functioning correctly, it cannot perform the necessary operations for the refreshes, which prevent them from completing successfully.

In scenarios where the Data Engine encounters an issue or crashes, there is no underlying process to manage the data extract tasks. As a result, any attempts to refresh extracts would result in failures, as the system lacks the capacity to complete these operations without a healthy Data Engine.

The other choices suggest various outcomes that would not accurately reflect the dependency of the extract refresh process on the Data Engine, such as completing successfully or continuing unaffected, which would not happen if core processing capabilities are impaired. Additionally, being queued for processing implies that the task would be delayed, indicating that the system remains functional, which is not the case when the process has failed.