Databricks-Spark-Assoc › Structured Streaming
Structured Streaming on Databricks covers reading from Delta, Kafka, and file sources, applying event-time windowing with watermarks, and managing stateful operations like dropDuplicates and foreachBatch. Questions test source support, late-data handling, exactly-once semantics via checkpoints, and diagnosing state-store or watermark failures in production pipelines.
Databricks-Spark-Assoc Structured Streaming — All 68 Questions
Every question in this domain with answers and detailed explanations.