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SOL-C01 · Question #209

A data scientist wants to use the COMPLETE function in Snowflake Cortex to perform sentiment analysis on social media posts. They have a table named 'SOCIAL MEDIA POSTS with a column 'POST TEXT'…

The correct answer is E. Option E. Option E is the most appropriate. It explicitly instructs the COMPLETE function to classify the sentiment and provides the possible classifications (Positive', 'Negative', or 'Neutral'). Combining text with II and using smaller snowflake model to minimize compute cost.

Querying and Performance

Question

A data scientist wants to use the COMPLETE function in Snowflake Cortex to perform sentiment analysis on social media posts. They have a table named 'SOCIAL MEDIA POSTS with a column 'POST TEXT' containing the post content. They want to classify each post as either 'Positive', 'Negative', or 'Neutral'. Which of the following SQL statements is the MOST appropriate for this task?

Exhibit

SOL-C01 question #209 exhibit

Options

  • AOption A
  • BOption B
  • COption C
  • DOption D
  • EOption E

How the community answered

(26 responses)
  • A
    4% (1)
  • B
    4% (1)
  • C
    12% (3)
  • E
    81% (21)

Explanation

Option E is the most appropriate. It explicitly instructs the COMPLETE function to classify the sentiment and provides the possible classifications (Positive', 'Negative', or 'Neutral'). Combining text with II and using smaller snowflake model to minimize compute cost.

Topics

#Snowflake Cortex#LLM Functions#Sentiment Analysis#SQL Querying

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