Snowflake SnowPro Certification Practice Test

Is Snowpipe's process for loading fresh data from micro-batches continuous or manual?

1. Continuous

2. Manual

3. Intermittent

4. Scheduled

The correct answer is: Continuous

Snowpipe is designed for continuous data ingestion in Snowflake. It allows for automatic loading of fresh data as soon as it arrives in a specified location, such as a cloud storage bucket. This means that when new data files are added, Snowpipe automatically triggers the data loading process without requiring manual intervention, which stands in stark contrast to a manual process that would necessitate user actions to initiate loading. The continuous nature of Snowpipe enables organizations to keep their data environments up to date in real time or near real time, which is essential for applications that depend on fresh data. This performance is achieved through the use of event-driven architecture, where notifications can trigger data load operations immediately upon data arrival. While the other choices suggest different types of data loading strategies—manual, intermittent, or scheduled loading—these do not apply here. Manual loading relies on user actions, intermittent typically refers to sporadic loading based on certain conditions, and scheduled loading happens at predetermined times, none of which align with Snowpipe's capability for ongoing and automatic data ingestion.