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What types of file/data formats does Snowflake support for data loading?

  1. Text Delimited, JSON, XML

  2. CSV, Parquet, ORC

  3. Both a and b

  4. Only XML and JSON

The correct answer is: Both a and b

Snowflake supports a wide range of file and data formats for data loading, which includes those in both text delimited formats and structured storage formats. The correct choice highlights this comprehensive capability by encompassing text-delimited formats such as CSV, as well as JSON and XML, which are commonly used for semi-structured data. In addition, Snowflake also supports columnar formats such as Parquet and ORC, which are optimized for analytical querying and can store complex data structures efficiently. By combining both groups, the correct answer reflects Snowflake's versatility and alignment with various data loading requirements, allowing users to easily ingest data from diverse sources. This capability is essential for users who need to work with different data types and formats in various analytical and operational contexts. Other options listed either limit the formats or do not encompass the full range of supported data types in Snowflake, making the correct response the only choice that accurately represents Snowflake's comprehensive support for multiple formats.