DEA-C02 Exam Dumps | You are using Snowpark Python to transform a DataFrame 'df_orderS containing order data'. You need to

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Question 9/149

You are using Snowpark Python to transform a DataFrame 'df_orderS containing order data'. You need to filter the DataFrame to include only orders with a total amount greater than $1000 and placed within the last 30 days. Assume the DataFrame has columns 'order_id', 'order_date' (timestamp), and 'total_amount' (numeric). Which of the following code snippets is the MOST efficient and correct way to achieve this filtering using Snowpark?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: D

Option D is the most efficient and correct. It uses 'snowflake.snowpark.functions' to correctly reference the columns using and 'dateadd()" for date arithmetic. Option A and C attempts to use native python date functions, and Option E passes a SQL string directly to the filter, bypassing Snowpack's function calls. and 'filter()' are functionally equivalent in Snowpark. Option B, while technically correct, uses 'dateadd' with which is better suited for Snowflake SQL than Snowpark operations. Option D keeps the entire filtering logic within Snowpark.

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