Snowflake SnowPro Certification Practice Test

What extra transformation is available during a Snowpipe load?

1. Loading multiple files simultaneously

2. Using stored procedures for additional logic

3. Using snowpipes to load micro-batches into staging tables

4. Aggregating multiple files into one during load

The correct answer is: Using snowpipes to load micro-batches into staging tables

The option identifying the ability to use Snowpipes to load micro-batches into staging tables is correct because it highlights one of the key functionalities of Snowpipe. Snowpipe is designed to ingest data continuously and automatically from cloud storage, allowing for micro-batch loading as files arrive. This means that as new data files are added to a defined stage in cloud storage, Snowpipe can immediately start processing those files and load the data into the specified table without needing manual intervention. By working with micro-batches, Snowpipe ensures that data can flow into the data warehouse in near real-time, which is particularly beneficial for applications that require timely insights from incoming data. This feature is fundamental to the continuous data operations that many organizations demand. The other options, while they may reflect some general capabilities available in data loading, do not specifically pertain to the unique functionalities provided during a Snowpipe load. For instance, loading multiple files simultaneously is a standard feature of many data loading scenarios but is not specific to Snowpipe. The use of stored procedures is relevant to enhancing logic during various operations but is not an inherent transformation feature of the Snowpipe itself. Finally, aggregating multiple files into one during load involves a different use case and is generally not a direct capability provided by