Snowflake Certification Practice Test

Does an empty table have a clustering depth of 0?

1. Yes, that’s correct

2. No, it has unpredictable depth

3. Only if it has no micro-partitions

4. Yes, but it can vary

The correct answer is: Yes, that’s correct

An empty table does indeed have a clustering depth of 0. Clustering depth refers to the organization and distribution of data within the micro-partitions of a table. When a table is empty, it contains no data points or entries; as a result, there cannot be any clustering information to analyze. Therefore, the clustering depth is defined as 0 since there are no micro-partitions to manage or cluster. Understanding clustering keys and how they impact data organization is crucial, especially when dealing with large datasets. In an empty state, there’s simply no data to consider for clustering purposes, leading to the conclusion that its depth is 0. This concept is foundational when working with Snowflake's architecture, as it highlights how clustering works in relation to the presence or absence of data.