Understand the Databricks CLI to Validate, Deploy, and Manage Declarative Automation Bundles (formerly Databricks Asset Bundles) and Other Workspace Assets in Automated CI/CD Workflows. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What does the `databricks bundle validate` command primarily check for in a bundle configuration?

   • AWhether the bundle's code compiles without errors
   • BWhether the bundle is already deployed to the target workspace
   • CWhether the user has sufficient permissions to deploy the bundle
   • DWhether the configuration is syntactically and semantically correct
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2. 17application · medium

   A company uses a single Databricks bundle to manage jobs across three environments: dev, staging, and prod. Each environment has a different workspace URL and different job cluster configurations. The bundle is stored in a Git repository. How should the team structure the bundle to handle these environment-specific configurations?

   • ACreate three separate bundles, one for each environment, and maintain them in separate Git branches.
   • BUse environment variables in the bundle configuration and set them differently in each CI/CD pipeline.
   • CUse a single bundle with a 'targets' section defining 'dev', 'staging', and 'prod', each with its own workspace and resource overrides.
   • DStore the environment-specific configurations in separate YAML files and use a script to merge them before deployment.
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4. 18application · medium

   A team is setting up a CI/CD pipeline for their Databricks bundles. They want to ensure that the bundle is validated before it is deployed to the 'staging' environment. They also want to deploy to 'staging' only if the validation passes. What is the correct sequence of CLI commands for the pipeline?

   • Adatabricks bundle validate && databricks bundle deploy --target staging
   • Bdatabricks bundle deploy --target staging --validate
   • Cdatabricks bundle deploy --target staging && databricks bundle validate
   • Ddatabricks bundle build && databricks bundle deploy --target staging
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5. 19foundation · easy

   In a CI/CD pipeline, which sequence of Databricks CLI commands is typically used to deploy a bundle?

   • Adatabricks bundle validate, then databricks bundle deploy
   • Bdatabricks bundle list, then databricks bundle deploy
   • Cdatabricks bundle deploy, then databricks bundle validate
   • Ddatabricks bundle delete, then databricks bundle deploy
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6. 20foundation · easy

   Which Databricks CLI command deploys a bundle to a target workspace?

   • Adatabricks bundle upload
   • Bdatabricks bundle push
   • Cdatabricks bundle deploy
   • Ddatabricks bundle publish
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