SOL-C01 Exam Dumps | You are designing a Snowflake UDF to parse log files. The UDF needs to accept the log file content as

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Snowflake.SOL-C01.v2026-01-13.q155
Question 151

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Question 151/155

You are designing a Snowflake UDF to parse log files. The UDF needs to accept the log file content as a string argument and a configuration parameter that specifies the log format. Which of the following approaches is MOST efficient and allows for easy updates to the log format without redeploying the UDF?

A. Pass the log format as a string argument directly to the UDF. Parse the string within the UDF to extract the format definition.

B. Store the log format in a separate table and use a Snowflake lookup within the UDF to retrieve the format based on a key passed as an argument.

C. Use a stage to store the log format definition as a JSON file. Read the file content from the stage within the UDF using the 'EXTERNAL _ TABLE function.

D. Store the log format in a named stage and create a function to retrieve the format from the stage using 'GET_OBJECT.

E. Store the log format in a Snowflake secret and retrieve it using the SYSTEM$GET SECRET function, passing the secret name as an argument to the UDF.

Correct Answer: E

Option E is the best solution. Storing the log format in a Snowflake secret offers the most secure and manageable approach. Secrets are designed to store sensitive configuration data, and SYSTEM$GET_SECRET ensures that the UDF can access the format without embedding it directly in the code. This allows for updates without redeploying the UDF. Options A, B, C, and D have drawbacks. Passing as a string (A) is inefficient and less secure. Table lookup (B) adds overhead. External tables/stages (C and D) are more complex and might not be necessary for simple configuration data.

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