Deploy Declarative Automation Bundles (formerly Databricks Asset Bundles) to Package, Configure, and Promote Lakeflow Jobs, Lakeflow Spark Declarative Pipelines, and Other Workspace Assets Across Dev, Test, and Prod Environments. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which file is the central configuration file for a Databricks Asset Bundle (DAB) project?

   • Adeployment.yml
   • Bbundle.json
   • Cdatabricks.yml
   • Dconfig.yml
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2. 7application · medium

   A team manages multiple Databricks workspaces for different environments. They use Databricks Asset Bundles to deploy their Lakeflow Jobs. They want to ensure that the bundle uses the correct workspace URL and authentication for each environment. Where should they configure the workspace URL and authentication?

   • AIn the `targets` section, as part of the target configuration.
   • BIn the `custom` section, as custom properties.
   • CIn the `resources` section of the bundle.
   • DIn the `variables` section, as environment variables.
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4. 8foundation · easy

   In a Databricks Asset Bundle configuration, which top-level key defines the environment-specific settings such as workspace URL and resource prefixes?

   • Aresources
   • Bvariables
   • Cenvironments
   • Dtargets
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5. 9application · medium

   A team is packaging a Databricks Asset Bundle that includes a Lakeflow Job and a Spark Declarative Pipeline. They also want to include a SQL query and a dashboard as workspace assets. Where should these assets be defined in the bundle structure?

   • AIn the `artifacts` section, as separate entries for each asset type.
   • BIn the `resources` section, under `jobs` and `pipelines`, and also under `sql` and `dashboards` respectively.
   • CIn the `custom` section, as a list of asset definitions.
   • DIn the `variables` section, as key-value pairs for each asset.
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6. 10application · medium

   A data engineer is deploying a Databricks Asset Bundle to the prod target. After running `databricks bundle deploy --target prod`, they want to verify that the deployment was successful and that the resources are correctly configured in the workspace. Which command should they use?

   • A`databricks bundle status --target prod`
   • B`databricks bundle list --target prod`
   • C`databricks bundle run --target prod`
   • D`databricks bundle validate --target prod`
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