COF-C02 · Question #167
Which statement MOST accurately describes clustering in Snowflake?
The correct answer is B. Clustering is the way data is grouped together and stored within Snowflake micro-partitions. Clustering in Snowflake describes how data is physically organized within its micro-partition storage layer. By default, data is clustered in insertion order. Clustering keys can optionally be defined to colocate related data in the same or adjacent micro-partitions, improving…
Question
Which statement MOST accurately describes clustering in Snowflake?
Options
- AThe database ACCOUNTADMIN must define the clustering methodology for each Snowflake
- BClustering is the way data is grouped together and stored within Snowflake micro-partitions.
- CThe clustering key must be included in the COPY command when loading data into Snowflake.
- DClustering can be disabled within a Snowflake account.
How the community answered
(50 responses)- A8% (4)
- B86% (43)
- C2% (1)
- D4% (2)
Explanation
Clustering in Snowflake describes how data is physically organized within its micro-partition storage layer. By default, data is clustered in insertion order. Clustering keys can optionally be defined to colocate related data in the same or adjacent micro-partitions, improving query pruning. Option A is incorrect because defining clustering methodology is not an ACCOUNTADMIN responsibility per table. Option C is incorrect because clustering keys are not part of the COPY INTO command. Option D is incorrect because clustering is a fundamental aspect of Snowflake's architecture and cannot be fully disabled.
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