Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

While working in a Microsoft Fabric lakehouse you have a PySpark DataFrame named df that contains new and changed customer rows. You must upsert the data into the existing Delta table customers so that matching rows are updated and non-matching rows are inserted atomically. Which PySpark statement should you use?

  • spark.sql("INSERT OVERWRITE TABLE customers SELECT * FROM df")

  • DeltaTable.forName(spark, "customers") .alias("t") .merge(df.alias("s"), "t.id = s.id") .whenMatchedUpdateAll() .whenNotMatchedInsertAll() .execute()

  • df.write.mode("overwrite").saveAsTable("customers")

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

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