Reviewed by Aditya Kumar · Last reviewed 2026-03-24
Architectural flow: Databricks activity (Notebook or JAR) in pipeline. Linked service to Databricks (host, token/Azure AD). Specify notebook path, cluster (existing or job), parameters. Example: Copy → Databricks Notebook (transform) → Copy to Synapse....
Architectural flow: Databricks activity (Notebook or JAR) in pipeline. Linked service to Databricks (host, token/Azure AD). Specify notebook path, cluster (existing or job), parameters. Example: Copy → Databricks Notebook (transform) → Copy to Synapse. Best practice: Pass pipeline params; job clusters for cost; retry; cluster pools for startup.
Red Flag: Always-on cluster for occasional runs. Pro-Move: 'We use job clusters; pool for fast start; params from pipeline—cost 60% lower than all-purpose.'
According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.