Databricks Bundle Init Command Function

DP-750 By islever Editorial Last updated

Implement development lifecycle processes in Azure Databricks

Short answer

B Running databricks bundle init creates a new Declarative Automation Bundles project structure.

Question

You manage Declarative Automation Bundles by using the Databricks CLI.
You run the following command in a terminal window.
databricks bundle init
What occurs when you run the command?
  1. The bundle configuration is validated.
  2. A new Declarative Automation Bundles project structure is created. Correct Answer
  3. Bundle-defined resources are deployed to the Databricks workspace.
  4. Jobs or pipelines defined in the bundle are run.

Key Takeaways

The question tests knowledge of the specific lifecycle commands for Databricks Bundles, specifically distinguishing initialization from validation, deployment, or execution.

Running the databricks bundle init command scaffolds a new project structure for Declarative Automation Bundles in Azure Databricks.

Common mistake: Candidates may incorrectly choose C (deployment) because they associate 'bundle' with applying resources to the workspace, but deployment requires the separate 'bundle deploy' command.

Expert Analysis

The command databricks bundle init is the initialization step for Declarative Automation Bundles in Azure Databricks. Its primary function is to scaffold a new project by generating the necessary directory structure and default configuration files (such as bundle.yml). This aligns with option B, which describes creating a new project structure.

It is critical to distinguish this from other bundle commands. Option A refers to validation, which is handled by databricks bundle validate. Option C refers to deployment, executed via databricks bundle deploy, which applies resources to the workspace. Option D refers to execution, managed by databricks bundle run. The comment provided confirms this distinction by mapping 'init' to initialization, 'validate' to validation, 'deploy' to deployment, and 'run' to running resources. Therefore, only initialization occurs here.

Official Reference

https://docs.databricks.com/en/dev-tools/bundles/index.html

This link opens the official vendor documentation in a new tab.

Exam Strategy

Memorize the four core CLI verbs for Databricks Bundles: init (create structure), validate (check config), deploy (apply resources), and run (execute jobs/pipelines). When you see 'init', immediately think 'scaffold' or 'structure'; when you see 'deploy', think 'workspace application'. This prevents confusion between setup and operational phases.

Frequently Asked Questions

What is the difference between databricks bundle init and databricks bundle validate?

Init creates the initial project files and directory structure. Validate checks the existing configuration for syntax errors and best practices without deploying anything.

Which command deploys resources defined in a bundle to the workspace?

The databricks bundle deploy command is used to create, update, or delete resources in the Databricks workspace based on the bundle configuration.

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Community Votes

B
100%

100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.

Discussion 1 contributions

Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.

From public community threads 1

  1. Raja419 👍 1 Answered B
    bundle init -> Initialize project bundle validate -> Validate configuration bundle deploy -> Deploy resources bundle run -> Run a resource

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