A data engineer is deploying a dashboard through a Declarative Automation Bundle.

The --target prod option explicitly selects the prod target from the bundle configuration. Databricks then resolves ${var.dataset_catalog} using the target-level value catalog_prod, which takes precedence over the top-level default of catalog_dev. This allows the same dashboard resource definition to be promoted across environments without editing the resource itself. The --var option can override an individual variable, but it does not automatically select the production target. The --profile option selects an authentication profile from .databrickscfg; it does not select a bundle target or automatically apply the target’s variables. bundle execute is not the deployment command. Consequently, option D correctly combines production-target selection with the environment-specific variable override already defined in the YAML configuration.

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