You have a DataFrame `df` with a nested column `profile.age`. How would you cast this nested field to an integer and create a new top-level column named `age` using Spark? Provide the code snippet.

Simulated

A

df.withColumn('age', col('profile.age').cast('int'))

68.4%

B

df.select(col('profile.age').cast('int').alias('age'))

11.6%

C

df.withColumn('age', 'profile.age'.cast('int'))

10.9%

D

df.select('profile.age'.cast('int').alias('age'))

9.1%

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Databricks Certified Data Engineer - Associate