True or False: A single clustering key can contain one or more columns or expressions

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Multiple Choice

True or False: A single clustering key can contain one or more columns or expressions

Explanation:
Clustering keys can be composite, meaning a single clustering key can span multiple components—columns or expressions. When you define a clustering key with CLUSTER BY, you can include several columns (for example, CLUSTER BY (region, order_date)) or even expressions (such as CLUSTER BY (DATE_TRUNC('MONTH', order_date))). This single key then guides how Snowflake organizes data into micro-partitions to improve pruning for queries that filter on those components. That’s why the statement is true: a single clustering key can contain one or more columns or expressions. The other options don’t fit because the ability to compose a clustering key is not dependent on the data, nor is it an impossibility to have multiple components in a clustering key.

Clustering keys can be composite, meaning a single clustering key can span multiple components—columns or expressions. When you define a clustering key with CLUSTER BY, you can include several columns (for example, CLUSTER BY (region, order_date)) or even expressions (such as CLUSTER BY (DATE_TRUNC('MONTH', order_date))). This single key then guides how Snowflake organizes data into micro-partitions to improve pruning for queries that filter on those components. That’s why the statement is true: a single clustering key can contain one or more columns or expressions. The other options don’t fit because the ability to compose a clustering key is not dependent on the data, nor is it an impossibility to have multiple components in a clustering key.

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