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Snowflake

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…

Storage and Data Protection

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)
  • A
    8% (4)
  • B
    86% (43)
  • C
    2% (1)
  • D
    4% (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.

Topics

#Clustering#Micro-partitions#Data Organization#Storage Architecture

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