What are benefits of using Snowpark with Snowflake? (Select TWO).

The correct answer is C. Snowpark does not require that a separate cluster be running outside of Snowflake. D. Snowpark allows users to run existing Spark code on virtual warehouses without the need to. Snowpark is Snowflake's developer framework that allows data engineers and scientists to write code (Python, Java, Scala) using a DataFrame-style API that runs natively inside Snowflake. Key benefits: (C) Snowpark does NOT require a separate cluster like a standalone Spark…

Snowflake Cloud Data Platform Features and Architecture

Question

Options

ASnowpark uses a Spark engine to generate optimized SQL query plans.
BSnowpark automatically sets up Spark within Snowflake virtual warehouses.
CSnowpark does not require that a separate cluster be running outside of Snowflake.
DSnowpark allows users to run existing Spark code on virtual warehouses without the need to
ESnowpark executes as much work as possible in the source databases for all operations including

How the community answered

(27 responses)

A
7% (2)
C
89% (24)
E
4% (1)

Explanation

Snowpark is Snowflake's developer framework that allows data engineers and scientists to write code (Python, Java, Scala) using a DataFrame-style API that runs natively inside Snowflake. Key benefits: (C) Snowpark does NOT require a separate cluster like a standalone Spark cluster - computation happens inside Snowflake's virtual warehouses; (D) Snowpark lets users migrate existing PySpark/Spark code to run on Snowflake's infrastructure without major rewrites. Options A and B are false - Snowpark does not use a Spark engine and does not set up Spark within warehouses. Option E is incorrect because Snowpark does not push work back to source databases.

Topics

#Snowpark#Data Processing#Architecture Benefits#Virtual Warehouses

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