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Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 12 Topic 2 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 2 Question 12 Discussion:
Question #: 12
Topic #: 2

Given a CSV file with the content:

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 12

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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Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Flint15051 at May 1, 2026, 1:27:57 PM

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