Microsoft Fabric Data Engineer Associate DP-700 Practice Question

In a Microsoft Fabric notebook, you are building a PySpark Structured Streaming query that must read real-time clickstream events from Azure Event Hubs and land them in a lakehouse so that Power BI DirectLake reports can query the data immediately. The solution must guarantee exactly-once processing after restarts and minimize small-file creation. Which writeStream configuration should you use?

  • .writeStream.format("delta").outputMode("append").option("checkpointLocation","/chkpt").option("triggerOnce","true").start("Tables.clicks")

  • .writeStream.format("delta").outputMode("append").option("checkpointLocation","/chkpt").start("Tables.clicks")

  • .writeStream.format("parquet").outputMode("append").option("checkpointLocation","/chkpt").start("/lakehouse/files/clicks")

  • .writeStream.format("delta").outputMode("complete").option("checkpointLocation","/chkpt").start("/lakehouse/tables/clicks")

Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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