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A data engineer is standardizing repository layouts for multiple teams adopting Databricks Asset Bundles.

A data engineer is standardizing repository layouts for multiple teams adopting Databricks Asset Bundles. The engineer wants to ensure every project has a single authoritative configuration file at the repository root that defines the bundle name, targets, workspace settings, permissions, and resource mappings (for jobs and pipelines).

Which strategy should the data engineer use to meet this goal?

A.

Place multiple databricks.yml files under each subfolder (for example, jobs/, pipelines/, workspace/) and merge them at deploy time using the include mapping.

B.

Place exactly one databricks.yml at the repository root; it is the main configuration file and may reference additional configuration files via the include mapping.

C.

Place a databricks.yml in a .databricks/ hidden folder at the repository root; only hidden locations are valid for bundle configs.

D.

Place a databricks.yml at the repository root and optional databricks.yml in subfolders; the CLI prefers .yaml over .yml when both exist.

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