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- Correct answer : D — An all-purpose cluster, since it stays available for multiple users to attach notebooks and share libraries across an interactive session. A . A job cluster is created for a single scheduled job run and terminates when that run finishes, so it does not stay available for multiple data scientists to attach notebooks throughout the day. It is not intended for shared, ongoing interactive use. B . SQL warehouses are built to run SQL queries against Databricks SQL and do not support attaching general-purpose notebooks or installing arbitrary Python libraries for exploratory work. This makes them unsuitable for the described shared notebook workflow. C . Like other SQL warehouse tiers, Classic warehouses serve SQL queries rather than hosting attached notebooks or arbitrary library installs, so they do not match the described interactive multi-user notebook workflow. Notebook attachment is a cluster capability, not a SQL warehouse one. D . An all-purpose cluster is designed to remain running so multiple users can attach notebooks, share installed libraries, and run interactive exploratory queries without waiting for a fresh cluster to start. This directly matches the described collaborative workflow.