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SOL-C01 · Question #117

SOL-C01 Question #117: Real Exam Question with Answer & Explanation

The correct answer is B: Using a larger virtual warehouse size during the load operation.. Option B, using a larger virtual warehouse size, can significantly improve performance by allocating more resources to the load operation. Option E is correct as Snowflake automatically decompresses GZIP files during load without needing a specific parameter. A does not improve l

Data Loading and Unloading

Question

A Snowflake administrator needs to load data from multiple compressed (gzip) CSV files located in an external stage into a Snowflake table. Which *COPY INTO' command options can improve the loading performance and minimize resource consumption? Choose all that apply.

Options

  • ASpecifying = CASE_INSENSITIVE to handle potential case differences in column names.
  • BUsing a larger virtual warehouse size during the load operation.
  • CUtilizing to split large files before loading.
  • DSetting ERROR = 'SKIP FILE" to ignore files with errors, thus preventing load interruption.
  • EEnsuring the files are automatically compressed with GZIP and Snowflake automatically

Explanation

Option B, using a larger virtual warehouse size, can significantly improve performance by allocating more resources to the load operation. Option E is correct as Snowflake automatically decompresses GZIP files during load without needing a specific parameter. A does not improve loading performance. C is incorrect because *MAX FILE SIZE is not a valid parameter for 'COPY INTO' command. D, setting 'ON_ERROR = 'SKIP_FILE" , helps to prevent interruption, but it doesn't specifically improve loading performance.

Topics

#Data Loading#COPY INTO#Performance Optimization#Virtual Warehouses

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