What will be the state of dataset A after a build on a feature branch when writing to another dataset on that branch?

When writing to another dataset on a feature branch, the state of dataset A remains unchanged because modifications are isolated within the context of the feature branch. A feature branch is used for developing new features or changes without affecting the stable code or data on the master branch.

Data operations performed on a feature branch do not directly impact the master branch or any dataset existing on it unless explicitly merged or integrated later. Therefore, dataset A stays as is after the build unless operations targeting specifically dataset A are executed on that branch. The independence of branches allows for testing and development to occur without risk to the existing datasets and workflows on the master branch.

This separation permits developers to work on new features or changes without any unintended consequences for the current production data or setups, maintaining a stable environment until the new features are finalized and merged.