Snowflake Certification Practice Test 2025 – All-in-One Resource to Ensure Your Exam Success!

Loading files larger than 100MB can negatively impact data ingestion performance in Snowflake because larger files tend to take longer to process during the loading stage. When files are excessively large, they can create bottlenecks in data transfer, as the ingestion process may require more time and system resources to handle and parse these files. Additionally, large files may not be as efficiently distributed across the compute resources that Snowflake employs, which can further hinder parallel processing and slow down the overall performance.

In contrast, using properly sized warehouses helps ensure that there are enough computational resources available for the ingestion process, while utilizing multiple stages can enhance performance by allowing for concurrent data loading tasks. Maintaining a consistent file format is also beneficial since it reduces the complexity of data parsing and ingestion, enabling smoother processing and quicker loading times.