When performing a join between a streaming DataFrame and a static Delta table in Databricks, which of the following statements is true regarding the behavior of the join?

Real Exam

Last updated: January 6, 2026 at 15:43

The streaming query joins every micro-batch against the snapshot of the static Delta table that was present at the moment the job was initialized.

44.4%

The checkpoint directory is responsible for tracking version changes and updates made to the static Delta table during the streaming job's execution.

22.2%

Spark maintains state information for every unique key in the join within the checkpoint folder to support stateful stream-static joins.

11.1%

Static Delta tables cannot be used in stream-static joins because Spark cannot guarantee exactly-once processing for the static side of the join.

22.2%

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