DAA-C01 Exam Dumps | You have a Snowflake environment where different data analysts run a variety of ad-hoc queries against

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Question 83/151

You have a Snowflake environment where different data analysts run a variety of ad-hoc queries against the same set of tables. You've noticed inconsistent query performance, with some queries running quickly and others taking much longer despite having similar logic. To better manage costs and optimize performance, which of the following strategies would be MOST effective in leveraging virtual warehouse caching and resource management in Snowflake? (Select TWO)

A. Implement a single, large virtual warehouse shared by all data analysts to maximize resource utilization and caching benefits.

B. Create separate virtual warehouses for different groups of analysts or types of queries to isolate workloads and prevent resource contention.

C. Configure the 'AUTO SUSPEND parameter on all virtual warehouses to be a very short duration (e.g., 60 seconds) to minimize costs when the warehouse is idle.

D. Use resource monitors to limit the credit usage of individual virtual warehouses or user groups to control costs and prevent runaway queries.

E. Disable result caching globally at the account level to ensure that all queries always retrieve the most up-to-date data.

Correct Answer: B,D

Creating separate virtual warehouses (B) allows you to isolate workloads, preventing resource contention and ensuring consistent performance for different groups of analysts or types of queries. Resource monitors (D) help control costs by limiting credit usage, preventing runaway queries from consuming excessive resources. Sharing a single, large warehouse (A) can lead to resource contention. Short 'AUTO_SUSPEND (C) can lead to frequent warehouse startups, negating caching benefits. Disabling result caching (E) defeats a key performance optimization mechanism.

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