Free Databricks Certified Associate Developer for Apache Spark 3.5 Exam Dumps May 2026

MultipleChoice

A data scientist wants each record in the DataFrame to contain:

The first attempt at the code does read the text files but each record contains a single line. This code is shown below:

The entire contents of a file

The full file path

The issue: reading line-by-line rather than full text per file.

Code:

corpus = spark.read.text("/datasets/raw_txt/*") \

.select('*', '_metadata.file_path')

Which change will ensure one record per file?

Options:

MultipleChoice

26 of 55. A data scientist at an e-commerce company is working with user data obtained from its subscriber database and has stored the data in a DataFrame df_user.

Before further processing, the data scientist wants to create another DataFrame df_user_non_pii and store only the non-PII columns. The PII columns in df_user are name, email, and birthdate.

Which code snippet can be used to meet this requirement?

A.

df_user_non_pii = df_user.drop("name", "email", "birthdate")

B.

df_user_non_pii = df_user.dropFields("name", "email", "birthdate")

C.

df_user_non_pii = df_user.select("name", "email", "birthdate")

D.

df_user_non_pii = df_user.remove("name", "email", "birthdate")

MultipleChoice

What is the benefit of using Pandas on Spark for data transformations?

Options: