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Databricks Certified Data Engineer Associate · Databricks
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- Correct answer : A — A `databricks.yml` file declares the job and pipeline as code, and named targets override settings like the workspace host so the same definitions deploy consistently across environments. A . This describes the core mechanism of a bundle: resources are declared once in `databricks.yml`, and targets override host, variables, and other settings per environment so the same source deploys consistently across dev, test, and prod. B . There is no UI feature that auto-detects and replicates resource changes between workspaces through an audit-log approval flow; promotion across environments is driven by deploying bundle configuration, not by UI diffing. C . Jobs and pipelines do not natively synchronize configuration across workspaces based on shared catalog or schema names; each workspace's resources are independent unless a bundle deploys the same definitions to both. D . A cluster policy constrains compute settings for a single job run and has no mechanism for propagating or synchronizing configuration between separate workspaces.