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Question 594 - SnowPro Core discussion

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What does a table with a clustering depth of 1 mean in Snowflake?

A.

The table has only 1 micro-partition.

Answers
A.

The table has only 1 micro-partition.

B.

The table has 1 overlapping micro-partition.

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B.

The table has 1 overlapping micro-partition.

C.

The table has no overlapping micro-partitions.

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C.

The table has no overlapping micro-partitions.

D.

The table has no micro-partitions.

Answers
D.

The table has no micro-partitions.

Suggested answer: C

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.

Snowflake Documentation on Clustering: Understanding Clustering Depth

asked 29/10/2024
CATALIN FLORESCU
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