Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 7 Topic 1 Discussion

Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 7 Topic 1 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 1 Question 7 Discussion:
Question #: 7
Topic #: 1

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

Options:


A.

It is available only with Python, thereby reducing the learning curve.


B.

It computes results immediately using eager execution, making it simple to use.


C.

It runs on a single node only, utilizing the memory with memory-bound DataFrames and hence cost-efficient.


D.

It executes queries faster using all the available cores in the cluster as well as provides Pandas’s rich set of features.


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