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RAN-DBDEA-00271
Ranvier · DBDEA

Exam DBDEA Topics: troubleshooting Difficulty: medium

A streaming workload ingests Kafka events into a streaming table through a continuously running query. Throughput seemed to drop after a configuration change, and the engineer wants to confirm, on the live query, how many input rows per second the source is delivering and how long each micro-batch takes to process. Where should the engineer look?

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  1. A. The Structured Streaming tab of the Spark UI, which shows active queries with input rate and batch duration statistics
  2. B. No Spark UI tab, because streaming queries are deliberately excluded from every view of that interface
  3. C. A StreamingQueryListener registered in the query's code, which is the only way to observe input rates and batch durations
  4. D. The Lakeflow job run history page, the sole view that reports per-query stream metrics like rows per second
Reveal answer

Correct answer: The Structured Streaming tab of the Spark UI, which shows active queries with input rate and batch duration statistics

Reference: https://docs.databricks.com/aws/en/optimizations/spark-ui-guide/

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Official Answer (A): The Structured Streaming tab of the Spark UI, which shows active queries with input rate and batch duration statistics

Ranvier · DBDEA

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