SOL-C01 · Question #193
A company stores unstructured text data (PDFs, DOCX) in an external stage (AWS S3). They want to use Snowflake Cortex's PARSE DOCUMENT function to extract specific information, but are encountering pe
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Question
A company stores unstructured text data (PDFs, DOCX) in an external stage (AWS S3). They want to use Snowflake Cortex's PARSE DOCUMENT function to extract specific information, but are encountering performance issues and high costs. Which of the following strategies could optimize performance and reduce costs when using PARSE DOCUMENT in this scenario?
Options
- AIncrease the size of the virtual warehouse used for processing, even if it means paying for larger
- BPre-process the documents to remove irrelevant sections (e.g., boilerplate text, headers, footers)
- CUtilize Snowflake's caching mechanism by storing parsed results in a separate table and
- DReduce the number of documents being processed in a single batch to minimize memory
- EImplement a robust error handling mechanism to prevent processing from halting due to
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