Which of the following can be automated using workflows in Dataverse?

Workflows in Dataverse are powerful tools specifically designed to automate processes and tasks within an application or service. Among the options provided, sending regular email updates is a classic example of a task that can be effectively managed through workflows.

When you set up a workflow, you can define specific triggers, conditions, and actions that dictate when an email should be sent, to whom, and under what circumstances. This automation streamlines communication, ensuring that users receive timely updates without manual intervention, which is particularly useful for processes that require consistent follow-ups or notifications.

The other options, while they might seem related to data handling and app management, are not directly aligned with the capabilities of workflows in Dataverse. For instance, data importation tasks typically involve bulk data management practices and ETL processes that are best handled by data integration tools rather than workflows. Creating new tables pertains to the structural elements of the database schema, which is typically a manual or scripted task rather than one that workflows are designed to handle. Lastly, designing app navigation involves user interface design choices that are not governed by workflows, focusing instead on layout and accessibility considerations within the application.