
Answer-first summary for fast verification
Answer: Micro-partitioning happens when the data is loaded
The correct answer is C because micro-partitioning in Snowflake occurs automatically when data is loaded, without requiring manual configuration. This is a fundamental characteristic of Snowflake's architecture where data is transparently partitioned based on the order of insertion. Option A is incorrect because micro-partitioning is designed to minimize data skew through automatic optimization. Option B is incorrect as no partitioning schema needs to be defined by users; it's automatic. Option D is incorrect because micro-partitioning cannot be disabled—it's a core feature of Snowflake's storage architecture. The community discussion strongly supports C with unanimous agreement and references to official documentation.
Author: LeetQuiz Editorial Team
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What is a characteristic of Snowflake's data micro-partitions?
A
Micro-partitioning may introduce data skew
B
Micro-partitioning requires the definition of a partitioning schema
C
Micro-partitioning happens when the data is loaded
D
Micro-partitioning can be disabled within a Snowflake account
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