DAA-C01 Exam Dumps | While reviewing the query profile for a complex data transformation pipeline, you notice a significant

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Question 80/151

While reviewing the query profile for a complex data transformation pipeline, you notice a significant amount of time spent in the 'Join' operation between two large tables, 'transactions' and 'customers'. The join is performed on the 'customer _ id' column. Which of the following are potential strategies to optimize the join performance?

A. Ensure that the 'customer_id' column has identical data types in both tables.

B. Cluster both tables on the 'customer id' column.

C. Broadcasting the smaller table to all compute nodes.

D. Rewrite the query to use a 'LATERAL FLATTEN' function instead of a 'JOIN'.

E. Increase the size of the virtual warehouse.

Correct Answer: A,B

Mismatched data types can cause implicit type conversions, which can significantly degrade join performance. Clustering both tables on the join key ('customer_id') will ensure that rows with the same customer ID are located closer together on disk, reducing 1/0 and improving join efficiency. Broadcasting the smaller table is not directly controllable by the user in Snowflake and is handled automatically by the optimizer. 'LATERAL FLATTEN' is not a direct replacement for a join. Increasing the virtual warehouse size might improve overall processing time but doesn't address the specific inefficiency of the join operation.

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