Answer-first summary for fast verification
Answer: Clustering is the way data is grouped together and stored within Snowflake micro-partitions.
Option B is the most accurate description of clustering in Snowflake because it correctly defines clustering as the way data is grouped and stored within micro-partitions, which is fundamental to Snowflake's automatic clustering mechanism. Option A is incorrect because ACCOUNTADMIN does not define clustering methodology for each table; clustering keys are typically defined at the table level by appropriate roles. Option C is incorrect because clustering keys are not specified in COPY commands; they're defined as part of table creation or alteration. Option D is misleading because while clustering can be managed (e.g., by dropping clustering keys), it's not 'disabled' at the account level in the way the option suggests. The community discussion shows strong consensus for B with 100% agreement and multiple upvoted comments confirming B as correct.
Author: LeetQuiz Editorial Team
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Which statement MOST accurately describes the purpose of clustering in Snowflake?
A
The database ACCOUNTADMIN must define the clustering methodology for each Snowflake table.
B
Clustering is the way data is grouped together and stored within Snowflake micro-partitions.
C
The clustering key must be included in the COPY command when loading data into Snowflake.
D
Clustering can be disabled within a Snowflake account.