DEA-C02 Exam Dumps | You have a Snowflake table named 'ORDERS clustered on 'ORDER DATE. After a significant data load, you

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Snowflake.DEA-C02.v2025-10-09.q149
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Question 18/149

You have a Snowflake table named 'ORDERS clustered on 'ORDER DATE. After a significant data load, you want to evaluate the effectiveness of the clustering. Which of the following SQL queries, using Snowflake system functions, will provide insights into the clustering depth and overlap of micro-partitions in the 'ORDERS' table, specifically helping you identify whether re-clustering is necessary? Assume that the table

Correct Answer: D

The query SELECT avg_depth, avg_overlap FROM is the correct approach. The function, when given the table name and the clustering key column(s), returns information about the clustering state. Using 'TABLE()' allows you to extract 'avg_deptm and 'avg_overlap', which are key metrics for assessing clustering effectiveness. 'avg_depth' indicates how well the data is clustered (lower is better), and 'avg_overlap' indicates the degree of overlap between micro-partitions (lower is better). A high 'avg_depth' or 'avg_overlap' suggests the need for re-clustering. Option A returns a JSON which is difficult to process to get the required metrics. Option B is missing the clustering key. Option C returns JSON and not the desired output. Option E is not valid SQL syntax in Snowflake.

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