What are benefits of using Snowpark with Snowflake? (Select TWO).
A.
Snowpark uses a Spark engine to generate optimized SQL query plans.
B.
Snowpark automatically sets up Spark within Snowflake virtual warehouses.
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 reconfigure the code.
E.
Snowpark executes as much work as possible in the source databases for all operations including User-Defined Functions (UDFs).
The Answer Is:
C, D
This question includes an explanation.
Explanation:
Snowpark is designed to bring the data programmability to Snowflake, enabling developers to write code in familiar languages like Scala, Java, and Python. It allows for the execution of these codes directly within Snowflake’s virtual warehouses, eliminating the need for a separate cluster. Additionally, Snowpark’s compatibility with Spark allows users to leverage their existing Spark code with minimal changes1.
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