You need repeatable CI/CD for notebooks and jobs across dev to prod, with controlled job definitions and minimal drift. Which deployment approach is most robust?

Use Databricks Repos for source control, define jobs via the Jobs REST API (or Terraform provider), and promote versions through environment‑specific configuration files. Store notebooks in a Git repo and sync them to Repos; each commit represents a version. In each environment, run a deployment pipeline that pulls the repo, uses the Jobs API to create or update jobs with the exact notebook path and parameters, and stores the job definition in a JSON file that is versioned. Terraform can be used to enforce the job configuration as code, ensuring that the same job definition is applied in dev, test, and prod. This approach eliminates manual imports, guarantees that job definitions are identical across environments, and provides auditability and rollback through Git history.