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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 33 Topic 4 Discussion

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Databricks Certified Associate Developer for Apache Spark 3.5 – Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 33 Topic 4 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 4 Question 33 Discussion:
Question #: 33
Topic #: 4

A data scientist is working on a project that requires processing large amounts of structured data, performing SQL queries, and applying machine learning algorithms. The data scientist is considering using Apache Spark for this task.

Which combination of Apache Spark modules should the data scientist use in this scenario?

Options:
A.

Spark DataFrames, Structured Streaming, and GraphX

B.

Spark SQL, Pandas API on Spark, and Structured Streaming

C.

Spark Streaming, GraphX, and Pandas API on Spark

D.

Spark DataFrames, Spark SQL, and MLlib

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Actual exam question for Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 exam by Milo34009 at Oct 20, 2025, 10:23:54 AM

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