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

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Do Snowflake store structured and semi-structured data in different formats?

Yes, they use distinct formats

No, both types use the same proprietary file format

Snowflake is designed to store both structured and semi-structured data efficiently using a unified format. This is accomplished using Snowflake's proprietary architecture, which allows it to treat different data types in a consistent manner. In particular, structured data (like that found in traditional relational databases) and semi-structured data (such as JSON, Avro, or Parquet) can be stored together without needing to convert them into separate formats. This capability facilitates seamless querying and analytics across different data types, enabling users to work with diverse datasets without the performance overhead of separate storage systems. Furthermore, this flexibility supports a variety of data processing scenarios, making Snowflake a versatile platform for modern data analytics.

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Yes, structured is stored in CSV

No, semi-structured is stored in JSON

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