COF-C02 · Question #578
What does a table with a clustering depth of 1 mean in Snowflake?
The correct answer is C. The table has no overlapping micro-partitions. In Snowflake, a table's clustering depth indicates the degree of micro-partition overlap based on the clustering keys defined for the table. A clustering depth of 1 implies that the table has no overlapping micro-partitions. This is an optimal scenario, indicating that the…
Question
What does a table with a clustering depth of 1 mean in Snowflake?
Options
- AThe table has only 1 micro-partition.
- BThe table has 1 overlapping micro-partition.
- CThe table has no overlapping micro-partitions.
- DThe table has no micro-partitions.
How the community answered
(57 responses)- A4% (2)
- B2% (1)
- C89% (51)
- D5% (3)
Explanation
In Snowflake, a table's clustering depth indicates the degree of micro-partition overlap based on the clustering keys defined for the table. A clustering depth of 1 implies that the table has no overlapping micro-partitions. This is an optimal scenario, indicating that the table's data is well- clustered according to the specified clustering keys. Well-clustered data can lead to more efficient query performance, as it reduces the amount of data scanned during query execution and improves the effectiveness of data pruning.
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