A county wants repeatable deploys of workspace jobs and notebooks across environments. What packaging approach should they use?

A county that wants repeatable deploys of workspace jobs and notebooks across environments should package and configure those assets as a Databricks Asset Bundle. Bundles define jobs, notebooks, pipelines, and environment-specific configuration as versioned code so dev/test/prod deploys are consistent and reviewable. Hand-operated promotion does not scale across municipal environments or staff changes.

Synchronizing and versioning the workspace notebooks with Databricks Git folders for consistent environment promotion fails because Git folders version notebook code but do not package job definitions and environment-specific configuration together as repeatable bundle deploys. Defining and managing the workspace jobs with the Terraform Databricks provider for automated environment provisioning fails because general infrastructure provisioning adds external state and tooling without providing the Databricks-native versioned bundle packaging for jobs, notebooks, and per-environment targets. Uploading and configuring the workspace notebooks with the Databricks Workspace API for standardized environment releases fails because API uploads move files without packaging job definitions and environment-specific configuration as versioned bundle code, leaving releases manual and prone to drift.

Exam caveat: Asset Bundles are the Databricks-native packaging approach for multi-environment deploy; Git remains the source of truth, and CI often calls bundle deploy. Bundles do not remove the need for code review or testing—they make promote repeatable. Environment targets and permissions still must be configured deliberately so prod is not overwritten casually.

Operational check: define a Databricks Asset Bundle for the county jobs/notebooks, deploy to a non-prod target from CI or CLI, diff config between environments, and confirm Git-folder-only syncs, Terraform-only job provisioning, and Workspace API uploads are retired as official release methods.