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  1. Home
  2. Snowflake
  3. SnowPro Advanced: Data Scientist Certification Exam
  4. Snowflake.DSA-C03.v2026-03-11.q100
  5. Question 44

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Question 44/100

You are analyzing sales data in Snowflake using Snowpark to identify seasonality. You have a table named 'SALES DATA with columns 'SALE DATE (TIMESTAMP NTZ) and 'AMOUNT (NUMBER). You want to calculate the rolling average sales for each week over a period of 12 weeks using a Snowpark DataFrame. Which of the following Snowpark code snippets correctly implements this calculation?

Correct Answer: B,E
Options B and E are correct. They both calculate the 12 week rolling average grouped by week correctly and will display the average. Option B is the more correct of the two, because it does not require the user to sort the result to get the appropriate rolling average. Option A is incorrect because rangeBetween with seconds is not appropriate for weekly aggregation and calculation. Option C is incorrect because to_date would truncate the time component, grouping everything with the same date. Option D calculates a cumulative average since the beginning of the dataset

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