What does restoring a dataset not affect?

Restoring a dataset primarily focuses on reverting it to a previously saved state, which involves the dataset's contents and structure. When it comes to the recipe and dataflow used to create the dataset, these are separate components that define how the dataset was generated or transformed but are not altered by the restoration process. The recipe and dataflow operate independently of the specific versions of the dataset, meaning that restoring a dataset does not change or affect how it was originally created or the transformations applied.

In contrast, user permissions, existing versions, and overall data integrity can all be impacted by a restoration. For instance, restoring a dataset might lead to changes in who can access it based on the settings at that particular version, could overwrite or change previous versions, and may also impact data integrity if the state being restored does not align with the current state of the system or related datasets. Therefore, it is correct to say that restoring a dataset does not affect the recipe and dataflow used to create it.