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Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 All Questions
Exam Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 All Questions

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Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 25 Topic 3 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 3 Question 25 Discussion:
Question #: 25
Topic #: 3

A data scientist has identified that some records in the user profile table contain null values in any of the fields, and such records should be removed from the dataset before processing. The schema includes fields like user_id, username, date_of_birth, created_ts, etc.

The schema of the user profile table looks like this:

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question 25

Which block of Spark code can be used to achieve this requirement?

Options:
A.

filtered_df = users_raw_df.na.drop(thresh=0)

B.

filtered_df = users_raw_df.na.drop(how='all')

C.

filtered_df = users_raw_df.na.drop(how='any')

D.

filtered_df = users_raw_df.na.drop(how='all', thresh=None)

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Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Draven63870 at May 1, 2026, 1:26:58 PM

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