Databricks-GenAI-Assoc Assembling and Deploying Apps Practice Question
What is the primary purpose of the 'bundle validate' command in the Databricks Asset Bundles CLI?
⚠ Common exam trap
Candidates often confuse bundle validate with bundle deploy, thinking that validation actually pushes changes to the remote workspace instead of only checking local syntax and schema.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
To check for schema compliance and configuration errors.
The 'bundle validate' command performs a schema check and structural analysis on your configuration files. It ensures that the YAML is syntactically correct and that all referenced resources exist or will be created correctly. This step is crucial for preventing common errors before you attempt a deployment, saving time and avoiding partially successful deployments that could leave the environment in an inconsistent state.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To execute the deployment and verify it in the workspace.
Why it's wrong here
The validation command performs a pre-deployment check and does not actually perform the deployment. It is intended to run as an automated step in a CI pipeline to catch configuration errors before reaching the actual 'bundle deploy' phase, which is a separate, subsequent operation.
- ✓
To check for schema compliance and configuration errors.
Why this is correct
This command validates the YAML files against the expected schema for DABs. It checks for missing fields, incorrect types, and invalid resource references. By catching these issues early, developers can fix errors locally before the configuration is pushed to the CI/CD pipeline or the target environment.
- ✗
To format the YAML files according to Databricks standards.
Why it's wrong here
Validation is not a formatting or linting tool for style; it is for schema and structural integrity. While it might catch syntax errors, it will not reformat your YAML file for improved readability or consistency. Formatting is typically handled by integrated development environment (IDE) plugins or dedicated linting tools.
- ✗
To automatically update the bundle version to the latest release.
Why it's wrong here
The validation command does not interact with the bundle versioning or the platform release cycle. Its only purpose is to ensure that the configuration you have written is valid according to the Databricks Asset Bundle specification for the version of the CLI currently in use.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
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