SOL-C01 Exam Dumps | A large e-commerce company is experiencing seasonal spikes in sales traffic, leading to significant increases

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 29/155

A large e-commerce company is experiencing seasonal spikes in sales traffic, leading to significant increases in data ingestion and query processing. You are tasked with optimizing their Snowflake environment. Which of the following strategies BEST leverage Snowflake's elastic storage and compute capabilities to handle these fluctuating workloads efficiently and cost- effectively?

A. Manually resize the Snowflake virtual warehouse based on anticipated peak loads at the beginning of each season and reduce it back down after the peak ends.

B. Utilize Snowflake's auto-scaling feature for virtual warehouses to automatically adjust compute resources based on real-time demand, coupled with setting resource monitors to control spending.

C. Rely solely on Snowflake's automatic storage scaling and ignore the virtual warehouse size, as storage is the primary bottleneck during peak seasons.

D. Pre-process all incoming data into smaller, aggregated tables before loading it into Snowflake to reduce the storage footprint.

E. Use only the X-Small virtual warehouse size, since Snowflake's cloud-based architecture distributes processing across nodes automatically without needing larger warehouses.

Correct Answer: B

Option B is the most effective strategy. Snowflake's auto-scaling feature automatically adjusts compute resources to match demand, ensuring optimal performance during peak periods.
Resource monitors prevent runaway costs. Option A is less efficient as it relies on manual intervention and might not react quickly enough to changing demands. Option C neglects the importance of compute scaling. Option D introduces unnecessary complexity and potential data loss. Option E will lead to poor performance during peak loads.

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