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Given a CSV file with the content:And the following code:from pyspark.

Given a CSV file with the content:

And the following code:

from pyspark.sql.types import *

schema = StructType([

StructField("name", StringType()),

StructField("age", IntegerType())

])

spark.read.schema(schema).csv(path).collect()

What is the resulting output?

A.

[Row(name='bambi'), Row(name='alladin', age=20)]

B.

[Row(name='alladin', age=20)]

C.

[Row(name='bambi', age=None), Row(name='alladin', age=20)]

D.

The code throws an error due to a schema mismatch.

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