Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

A Microsoft Fabric pipeline triggers a PySpark notebook that transforms about 300 GB of Parquet files in a lakehouse. Several pipeline runs fail with the error message "org.apache.spark.SparkException: Job aborted due to stage failure - ExecutorLostFailure" although the same notebook sometimes finishes when executed manually. You need to determine the root cause of the failures and make the smallest possible change to prevent them from recurring. What should you do first?

  • Inspect the failed run in the Monitor hub, download the executor logs, and optimize the notebook's transformations (for example by repartitioning) based on the observed shuffle or spill issues.

  • Configure the Notebook activity in the pipeline to retry the run three times with a five-minute interval between attempts.

  • Add a setup cell that sets the configuration spark.executor.memoryOverhead to 4 GB before any transformations run.

  • Scale the workspace capacity to the next SKU tier to provide additional vCores for Spark compute.

Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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