Snowflake Certification Practice Test

What is a key indicator of how well a table is clustered in Snowflake?

1. Clustering depth

2. Number of micro-partitions

3. Query performance

4. Data type consistency

The correct answer is: Query performance

The key indicator of how well a table is clustered in Snowflake is query performance. In Snowflake, clustering is designed to optimize query efficiency, especially for large datasets. When a table is well-clustered, the storage is organized in a way that minimizes the amount of data scanned for a query, leading to faster response times. As queries typically involve filtering and accessing data, effective clustering ensures that related data is stored together, reducing the need to scan irrelevant data. If a table loses its clustering efficiency, this can result in slower query performance because more data needs to be scanned to retrieve the desired results. The other options touch on aspects related to clustering, but they do not serve as direct measures of clustering efficiency. Clustering depth refers to the way data is organized within clusters, but it does not directly correlate with the time efficiency of query execution. The number of micro-partitions indicates how data is physically divided in Snowflake, but again, does not directly imply how well queries will perform. Data type consistency relates more to the structure of the data rather than its organization for query responsiveness. In summary, query performance is the most relevant metric for evaluating the effectiveness of clustering in Snowflake, as it reflects the actual impact of clustering on