A data engineering team supports dev, test, and prod workspaces. Today an administrator recreates the team's Lakeflow Job, its notebooks, and a Lakeflow Spark Declarative Pipeline in each workspace by clicking through the UI, and the definitions drift apart between environments. The team wants the environment definitions to live in Git and be deployed consistently. Which Databricks capability is designed for this?
Reveal answer
Correct answer: Automation Bundles: YAML definitions of jobs, pipelines, and notebooks in Git, deployed per target via the CLI
Reference: https://docs.databricks.com/aws/en/dev-tools/bundles/
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02 — The Myelin Layer · Canonical Discussion
Where the exam tries to trick you — and how those who passed solved it.
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Official Answer (A): Automation Bundles: YAML definitions of jobs, pipelines, and notebooks in Git, deployed per target via the CLI
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