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Given the code:df = spark.

Given the code:

df = spark.read.csv("large_dataset.csv")

filtered_df = df.filter(col("error_column").contains("error"))

mapped_df = filtered_df.select(split(col("timestamp"), " ").getItem(0).alias("date"), lit(1).alias("count"))

reduced_df = mapped_df.groupBy("date").sum("count")

reduced_df.count()

reduced_df.show()

At which point will Spark actually begin processing the data?

A.

When the filter transformation is applied

B.

When the count action is applied

C.

When the groupBy transformation is applied

D.

When the show action is applied

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