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Snowflake

SOL-C01 · Question #201

A financial institution is using Snowflake to store customer communications. They need to translate all incoming emails from various languages into English for compliance purposes. The 'EMAILS' table

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Querying and Performance

Question

A financial institution is using Snowflake to store customer communications. They need to translate all incoming emails from various languages into English for compliance purposes. The 'EMAILS' table has columns 'EMAIL ID', 'EMAIL CONTENT', and DETECTED LANGUAGE. Due to the high volume of emails, they want to optimize the translation process using a virtual warehouse and caching. Which of the following strategies will BEST improve the performance and cost-effectiveness of translating the emails using Snowflake Cortex LLM's 'TRANSLATE function? (Select all that apply)

Options

  • AUse a larger virtual warehouse size for faster processing, even during off-peak hours.
  • BUse a smaller virtual warehouse size to reduce costs, even if it takes longer to translate the emails.
  • CUtilize Snowflake's result caching by ensuring the SQL queries calling the `TRANSLATE function
  • DCreate a materialized view that stores the translated emails, updating it incrementally as new
  • EBypass the Translate and do a simple copy of the EMAIL CONTENT in the destination table as its

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Topics

#Snowflake Cortex#Materialized Views#Result Caching#Performance & Cost Optimization
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