DAA-C01 Exam Dumps | You observe that a Snowflake query, intended to perform aggregations on a 'SALES table (partitioned by

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Question 136

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Question 136/151

You observe that a Snowflake query, intended to perform aggregations on a 'SALES table (partitioned by 'SALE DATE), exhibits unexpectedly poor performance despite the data being relatively well clustered. Further investigation reveals that a user recently modified the 'SESSION' parameter NTE OUTPUT FORMAT to 'YYYY-MM'. The aggregation query filters the 'SALES' table using a 'WHERE clause on 'SALE DATE. Which of the following explains the performance degradation, and what actions can be taken to remediate?

A. The change in alters the internal storage format of 'SALE_DATE, invalidating existing clustering metadata. Re-clustering the 'SALES' table is required.

B. The modified causes Snowflake to perform implicit conversions on 'SALE_DATE in the 'WHERE clause, preventing partition pruning. Modify the query to use a consistent date format or reset the session parameter.

C. The change in increases the size of the query's result set, leading to network bottlenecks. Reduce the number of columns returned by the query.

D. The parameter is irrelevant to query performance as it only affects the output representation of dates. The performance issue is due to a different factor, such as insufficient warehouse size.

E. The change in impacts the cost-based optimizer and impacts the explain plan, causing a full table scan, use 'ALTER SESSION SET DATE OUTPUT FORMAT = 'AUTO".

Correct Answer: B,E

The parameter itself doesn't change underlying data or invalidate clustering directly (A). While a larger result set can impact network (C), it's less likely than partition pruning issues in this scenario. 'DATE OUTPUT FORMAT can affect query performance if it causes implicit conversion on 'DATE columns in 'WHERE clauses, which can prevent partition pruning; setting it back to 'AUTO' or default behavior fixes this. The optimizer can be affected, forcing full table scan which is sub-optimal.

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