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Exam DEA-C02 Topic 1 Question 281 Discussion

Actual exam question for Snowflake's DEA-C02 exam
Question #: 281
Topic #: 1
You're tasked with optimizing a Snowflake data pipeline that transforms and loads data into a target table. The pipeline uses a series of complex SQL queries with multiple joins and aggregations. After analyzing the query execution plans, you identify a few key bottlenecks. Which of the following optimization techniques would MOST directly address common performance bottlenecks in such a data pipeline within Snowflake?

Suggested Answer: B,D Vote an answer

Options B and D are the most effective. Clustering keys optimize data retrieval based on filter conditions, significantly improving query performance, and materialized views reduce compute costs by storing pre-computed data and the optimizer rewrites to use it where possible, reducing processing time for queries that require those aggregations. Option A is a brute force approach that may not be cost effective. Option C is generally incorrect because it is not the most cost effecient method. Option E would negatively affect performance.

by Hyman at Jun 29, 2026, 09:31 PM

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