You have a Snowflake task that executes a complex stored procedure. This stored procedure performs several UPDATE statements on a large table. After enabling the 'QUERY TAG' parameter, you notice that the task history in Snowflake shows frequent suspensions due to exceeding warehouse resource limits. The warehouse is already scaled to the largest size. Which combination of the following strategies would BEST address this issue and minimize task suspensions, assuming you CANNOT further scale the warehouse?
Correct Answer: A,C
Options A and C are the most effective strategies. Breaking down the stored procedure into smaller transactions (Option A) reduces the resource footprint of each transaction and allows the warehouse to process them more efficiently. Optimizing the UPDATE statements (Option C) directly addresses the root cause of the resource consumption. Option B only delays the inevitable suspension and does not address the underlying resource issue. Option D can lead to resource exhaustion if the retries continue to fail. Option E might prevent total resource exhaustion but doesn't address optimization.