Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

In a Microsoft Fabric PySpark notebook, you have a DataFrame named df that contains incremental changes for the Customers dimension. You must write the data to the lakehouse path "Tables/dim_customer" so that it is stored in Delta format, automatically merges any new columns in future loads, and is physically partitioned by the Country column. Which PySpark write command meets all these requirements?

  • df.write.format("delta").mode("append").option("mergeSchema", "true").partitionBy("Country").save("Tables/dim_customer")

  • df.repartition("Country").write.format("delta").mode("append").save("Tables/dim_customer")

  • df.write.format("parquet").mode("append").option("mergeSchema", "true").partitionBy("Country").save("Tables/dim_customer")

  • df.write.format("delta").mode("overwrite").option("overwriteSchema", "true").partitionBy("Country").save("Tables/dim_customer")

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