Packaging a project as Databricks Asset Bundles
Databricks Asset Bundles (DABs) let you define jobs, Delta Live Tables pipelines, and other workspace resources as YAML source-controlled configuration, then validate, deploy, and run them consistently across environments using the Databricks CLI. They are the recommended CI/CD mechanism for packaging and promoting Databricks workloads from dev to staging to production.
1 · Learn the must-know
- A bundle is defined by a root databricks.yml file (optionally split across included YAML files) that declares resources, artifacts, and one or more deployment targets.
- Core CLI lifecycle commands are databricks bundle init (scaffold from a template), validate, deploy, run, and destroy, and require Databricks CLI version 0.205 or later.
- Targets let the same bundle be deployed to different workspaces/environments (e.g., dev, staging, prod) with overridden variables, compute, or permissions per target.
- Each target can set mode: development or mode: production; development mode auto-prefixes resource names with the deploying user and pauses schedules/triggers to avoid clashes, while production mode enforces stricter validation (e.g., requiring
run_asidentity).
2 · Check your understanding
Check this objectiveFree · always available
A data engineer configures a target named "dev" in a Databricks Asset Bundle's databricks.yml with mode: development. What behavior does this setting introduce when the bundle is deployed to that target?
Your objective map0 tried · 0 answered correctly · 77 untouched
What you have tried across DP-750's objectives, not a readiness score.
Set up and configure an Azure Databricks environment15-20% of the exam0 of 13 tried
Secure and govern Unity Catalog objects15-20% of the exam0 of 12 tried
Prepare and process data30-35% of the exam0 of 28 tried
Deploy and maintain data pipelines and workloads30-35% of the exam0 of 24 tried
3 · Keep going
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