DP-750 Certification Practice Question #83

Question

You have authored a Databricks Asset Bundle locally with a `databricks.yml` that defines a `dev` target and a Lakeflow job named `sample_job`. You have already configured the Databricks CLI (v0.218.0+) with OAuth U2M authentication to your workspace. From the bundle project root you want to:

1. Confirm the configuration is syntactically valid before deploying.
2. Deploy the job and its source files to the `dev` target workspace.
3. Trigger an actual run of the deployed job from the command line.

Which sequence of Databricks CLI commands accomplishes these three steps in order?

Accepted Answer

The documented bundle lifecycle is `databricks bundle validate` (checks the `databricks.yml` syntax/identity), then `databricks bundle deploy --target dev` (uploads source files and creates/updates resources in the target workspace), then `databricks bundle run --target dev sample_job` (triggers a run and returns a Run URL). Option A matches this exactly. The other options either reorder validate after deploy (C), or invoke commands that are not part of the bundle CLI (`push`, `start`, `apply`, `trigger`) or that scaffold a new project (`init`).

More DP-750 practice questions