SOL-C01 Exam Dumps | You are loading data from a set of compressed (gzip) JSON files in an external stage named 'json

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Snowflake.SOL-C01.v2026-01-13.q155
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Question 95/155

You are loading data from a set of compressed (gzip) JSON files in an external stage named
'json_stage'. The target table is named raw_event' , and it has a single VARIANT column named
'event_data'. You want to load the data using a virtual warehouse named 'LOAD WH'. You also need to ensure only new files added to the stage since the last load are processed and any pre- existing data is not reloaded. What combination of parameters and setup do you need to use to successfully accomplish this?

A. Use the 'COPY INTO command with the NATCH_BY COLUMN_NAME option set to
'CASE_INSENSITIVE', a warehouse clause, create a pipe using auto- ingest with event notifications, and set the 'AUTO_REFRESH' parameter to 'TRUE on the stage.

B. Use the `COPY INTO command with the FILES = ('json_stage/ option, a warehouse clause, enable the parameter on the stage to incrementally load new files.

C. Use the 'COPY INTO' command with a warehouse clause, enable snowpipe auto-ingest using event notifications and a Snowflake-managed queue, and rely on the metadata history to prevent reprocessing.

D. Use the 'COPY INTO' command with a warehouse clause, specifying the file format to handle gzip compression, and enable the 'AUTO_REFRESH' parameter to 'TRUE on the stage, and rely on filename to determine which files have been loaded.

E. Use the 'COPY INTO' command with a warehouse clause, specifying the file format to handle gzip compression, and then call the same 'COPY INTO' statement using a scheduled task.

Correct Answer: C

Option C is the most appropriate because it leverages Snowpipe's auto-ingest feature using event notifications. Snowpipe automatically tracks which files have already been loaded, preventing reprocessing. Using a virtual warehouse in the 'COPY INTO' statement ensures that the data is loaded with the specified compute resources.

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