Snowflake Certification Practice Test 2026 – All-in-One Resource to Ensure Your Exam Success!

Using the same proprietary file format for both structured and semi-structured data greatly simplifies the ingestion process. This is primarily because when data is stored in a consistent format, it eliminates the complexities involved in transforming or converting data between different formats during the ingestion phase. This uniformity allows for a more streamlined and efficient process, as the system can effectively handle both types of data without needing specific handling procedures for each format.

Additionally, simplifying the ingestion process can significantly reduce the time and resources required to manage incoming data, making it more practical and economical for organizations to work with diverse datasets. Adopting a single file format also enhances compatibility with various tools and services within the data ecosystem, further facilitating integration and analysis.

In contrast, the other options present scenarios that do not enhance the benefits of a unified file format. Increased storage costs or complicating the querying process are drawbacks that would detract from usability and efficiency. Separating data types contradicts the notion of using a single format, which inherently promotes integration rather than division.