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Actual exam question for Snowflake's GES-C01 exam Question #: 211 Topic #: 1
A team is building a critical Document AI pipeline for continuous processing of new financial reports. They've identified that occasionally, the 'GET_PRESIGNED_URL' generated for specific documents expires before the '!PREDICT function can successfully process them, resulting in HTTP 403 errors. To mitigate this, they plan to modify their SQL query logic. Which approach effectively addresses the presigned URL expiration issue without altering the stage definition or the model build itself, and adheres to recommended practices for handling batch processing as described in Snowflake's troubleshooting documentation?
The core problem is the expiration of presigned URLs when processing documents with S!PREDICT , which defaults to 60 minutes. Snowflake's troubleshooting documentation specifically recommends 'Use several queries to process the documents' as a solution for 'Presigned URL has expired'. This implies breaking down the workload into smaller, more manageable batches to ensure that the processing for each batch completes within the URL's active lifespan. Option A is incorrect as when used with a stage and in the context of does not directly support an 'expiration_time' parameter within the provided syntax examples. Option B describes a task that processes new documents in batches, which is a practical implementation of the recommended solution (using several queries), but option D describes the underlying recommended strategy more broadly and accurately as per the documentation's troubleshooting guidance. Option C attempts to filter documents by modification time, which doesn't directly prevent a URL from expiring if the subsequent processing is slow. Option E modifies 'COPY OPTIONS' which is irrelevant to '!PREDICT query errors for Document AI.
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