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Actual exam question for Snowflake's GES-C01 exam Question #: 24 Topic #: 1
A Snowflake administrator is tasked with monitoring the efficiency and cost-effectiveness of their Cortex Analyst deployments. They need to identify if certain semantic models are generating a high volume of failed or expensive queries. Which of the following approaches or statements are crucial for effectively monitoring and identifying issues with Cortex Analyst usage and associated costs?
Option A is correct because Cortex Analyst logs requests to an event table, and the function can be used to query these logs, which include generated SQL and errors/warnings, helping identify issues. Option C is correct as the 'METERIN_ DAILY_HISTORY view tracks daily credit usage for services, including 'AI_SERVICES' , which encompasses Cortex Analyst. Option E is correct as there is a reported 1-2 minute lag for Cortex Analyst requests to become visible in the event table logs. Option B is incorrect because 'CORTEX_DOCUMENT_PROCESSING_USAGE_HISTORY specifically displays Document AI processing function activity, not all AI Services or Cortex Analyst. Option D is incorrect because Cortex Analyst costs are based on messages, not tokens, so 'prompt_tokens' and 'completion_tokens' would not be relevant for direct cost assessment in this context.
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