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Answer: Specifying a list of specific files to load
The question specifically asks for the FASTEST method for bulk loading data files from a stage. According to Snowflake's official documentation referenced in the community discussion, 'Of the three options for identifying/specifying data files to load from a stage, providing a discrete list of files is generally the fastest.' This is option A. While some community members suggested option B (loading by path/prefix) might be more efficient for bulk operations due to scalability, the official documentation and the highest upvoted comments (with 5 and 4 upvotes) clearly state that specifying a list of specific files (option A) is the fastest method, though it has a limitation of loading up to 1,000 files per COPY command. Options C (Snowpipe REST API) and D (pattern matching) are not mentioned as the fastest methods in the context of this question.
Author: LeetQuiz Editorial Team
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Which method typically provides the FASTEST performance for bulk loading data files from a stage?
A
Specifying a list of specific files to load
B
Loading by path (internal stages) / prefix
C
Using the Snowpipe REST API
D
Using pattern matching to identify specific files by pattern
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