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How Data Engineer can do Monitoring of Files which are Staged Internally during Continuous data pipelines loading process? [Select all that apply]
Correct Answer: A,B,C
Explanation Monitoring Files Staged Internally Snowflake maintains detailed metadata for each file uploaded into internal stage (for users, tables, and stages), including: File name File size (compressed, if compression was specified during upload) LAST_MODIFIED date, i.e. the timestamp when the data file was initially staged or when it was last modified, whichever is later In addition, Snowflake retains historical data for COPY INTO commands executed within the pre-vious 14 days. The metadata can be used to monitor and manage the loading process, including de-leting files after upload completes: Use the LIST command to view the status of data files that have been staged. Monitor the status of each COPY INTO <table> command on the History tab page of the classic web interface. Use the VALIDATE function to validate the data files you've loaded and retrieve any errors en-countered during the load. Use the LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.