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 5)

Questions 21–25

1. 21foundation · easy

   Which Databricks CLI command is used to upload a notebook to a Databricks workspace?

   • Adatabricks fs cp
   • Bdatabricks workspace upload
   • Cdatabricks notebook put
   • Ddatabricks workspace import
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2. 22expert · hard

   A company has a Databricks bundle that deploys a job with a complex cluster configuration. They have a 'dev' target for testing and a 'prod' target for production. The cluster configuration in 'prod' requires a specific instance type that is not available in the 'dev' workspace. How should they handle this in the bundle?

   • AUse the same cluster configuration for both targets and rely on the workspace to handle the instance type.
   • BUse a variable in the bundle configuration and set its value differently for each target.
   • CDefine the cluster configuration in the 'resources' section and override it in the 'targets' section for 'prod'.
   • DCreate two separate bundles, one for 'dev' and one for 'prod', with different cluster configurations.
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4. 23foundation · easy

   What is the primary purpose of a Declarative Automation Bundle (formerly Databricks Asset Bundle) in Databricks?

   • ATo store and version control data files used in Databricks workspaces
   • BTo define and deploy Databricks resources (such as jobs, notebooks, and pipelines) declaratively using configuration files
   • CTo provide a graphical interface for managing Databricks clusters
   • DTo package Python libraries for distribution to other users
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5. 24application · medium

   A data engineer has deployed a bundle to the staging environment. After a review, they decide to remove a job that was defined in the bundle from the workspace. They update the bundle definition to remove the job and want to sync the workspace with the updated bundle. What is the correct command to achieve this?

   • Adatabricks bundle destroy --target staging
   • Bdatabricks bundle deploy --target staging
   • Cdatabricks bundle delete --target staging --resource <job-name>
   • Ddatabricks jobs delete --job-id <job-id>
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6. 25foundation · easy

   Which Databricks CLI command removes a deployed bundle and its associated resources from a workspace?

   • Adatabricks bundle delete
   • Bdatabricks bundle uninstall
   • Cdatabricks bundle destroy
   • Ddatabricks bundle remove
   Reveal Solution Discussion Select an answer first