SOL-C01 Exam Dumps | You are designing a data pipeline in Snowflake to process streaming data from Apache Kafka. You need

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 104/155

You are designing a data pipeline in Snowflake to process streaming data from Apache Kafka.
You need to choose the appropriate virtual warehouse size. The data arrives at a rate of 100,000 messages per second, and each message is approximately IKB. The processing involves complex transformations and aggregations. Which of the following considerations are MOST critical when determining the optimal warehouse size?

A. Only the total volume of data (100MB/second) needs to be considered. Choose the smallest warehouse that can handle this volume.

B. The complexity of the transformations and aggregations performed on the data significantly impacts the required compute resources. Choose a larger warehouse initially and monitor performance.

C. The number of concurrent users accessing the processed data is the primary factor. Choose a warehouse size that scales linearly with the number of users.

D. Always choose the largest available warehouse (X-Large or larger) to ensure optimal performance, regardless of the actual processing requirements.

E. The frequency of data arrival (100,000 messages/second) requires a warehouse with sufficient concurrency to avoid message backlog. Choose a warehouse size based on concurrency needs.

Correct Answer: B,E

The complexity of transformations and the frequency of data arrival both play crucial roles in determining warehouse size. Complex transformations require more compute power, and high data arrival rates require higher concurrency to avoid backlog. Option A is incorrect because it only considers data volume. Option C is relevant for querying the processed data, not for processing the streaming data itself. Option D is not cost-effective.

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