DSA-C03 Exam Dumps | You have a Snowflake table called 'website visits' with columns 'user id', 'visit

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Snowflake.DSA-C03.v2026-01-08.q143
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Question 25/143

You have a Snowflake table called 'website visits' with columns 'user id', 'visit_date', and You need to identify users who consistently spend a large amount of time on specific page URLs. You want to calculate the average time spent per user on each page URL and then find the top 10 page URLs where users, on average, spend the most time. Which of the following approaches is the MOST efficient and accurate for achieving this in Snowflake?

Correct Answer: D

Option D is the most accurate and efficient solution. It first calculates the average time spent by each user on each page URL using a CTE (Common Table Expression) called UserPageAvg' . Then, it calculates the average of these averages across all users for each page URL and orders the results to find the top 10. It avoids using temporary tables, making it more efficient than option A. Option A uses a temporary table, which can add overhead. Option B incorrectly calculates the average time across all visits to a page, rather than the average of each user's average time, giving undue weight to pages with many visits. Option C's use of OVER() without a PARTITION BY clause is incorrect within the context of the AVG function and desired result. Option E uses , which sacrifices accuracy for speed and may not be appropriate when precise average time is required. Also, it directly averages the time spent per visit rather than averaging the average time spent by each user on that page.

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