Exam DEA-C02 Topic 1 Question 221 Discussion

Actual exam question for Snowflake's DEA-C02 exam
Question #: 221
Topic #: 1

A data engineering team is running a series of complex analytical queries against a large Snowflake table. They notice that query performance is inconsistent, with some queries running much slower than others. After investigation, they determine that the queries are not properly leveraging the data clustering. Which of the following actions could improve the query performance related to the data clustering? Select all that apply.

A. Run 'ALTER TABLE CLUSTER BY (columnl, column2Y to explicitly define a clustering key on the table. B. Run 'ALTER TABLE DROP CLUSTERING KEY to remove the existing clustering key and allow Snowflake to automatically cluster the data. C. Run 'SHOW TABLES LIKE ' ' and review the 'clustering_information' column to understand the current clustering depth and benefit. D. Increase the virtual warehouse size to improve the performance of all queries, regardless of clustering. E. Execute SYSTEM$CLUSTERING INFORMATION( ' )' y to assess the impact of clustering on query performance and determine if re-clustering is needed.

Suggested Answer: A,C,E Vote an answer

Option A is correct because explicitly defining a clustering key allows Snowflake to optimize data organization for common query patterns. Option C is correct because understanding the current clustering state helps diagnose if clustering is effective. Option E is correct, using SYSTEM$CLUSTERING INFORMATION is a crucial method to determine reclustering needs. Option B can worsen performance, especially if the automatic clustering does not align with common query patterns. Option D may improve performance to a small extend but doesn't directly address the clustering issue.

by Benedict at Jun 30, 2026, 02:51 AM

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