Explain Snowflake AI Data Cloud Features and Cortex Capabilities COF-C03 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A support team wants to automatically categorize incoming customer tickets as 'billing', 'technical', or 'account' issues. The team has no ML expertise and wants to implement this using SQL only. Which Snowflake Cortex capability should they use?

   • ACortex ML functions for forecasting
   • BCortex ML functions for anomaly detection
   • CCortex search functions for document retrieval
   • DCortex LLM functions for text classification
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   An operations team wants to predict when a server is likely to fail based on historical performance metrics stored in Snowflake. Which Cortex use case is most relevant?

   • AForecasting
   • BSearch
   • CText generation
   • DSentiment analysis
   Reveal Solution Discussion Select an answer first
4. 23expert · hard

   A bank has a strict policy that customer data cannot be processed by external AI services. They want to use Cortex to analyze transaction data for fraud detection. The data is currently in Snowflake. What is the key architectural consideration?

   • ACortex functions require a dedicated virtual warehouse separate from the data.
   • BCortex functions run on Snowflake's infrastructure, so the data does not leave the Snowflake environment.
   • CCortex functions can only run on data that has been anonymized and exported.
   • DCortex functions require the data to be sent to a third-party LLM provider.
   Reveal Solution Discussion Select an answer first
5. 24expert · hard

   A retail chain wants to build a chatbot that answers customer questions about order status and return policies. The data is in Snowflake. They want the chatbot to provide accurate, data-driven answers. Which Cortex approach is most suitable?

   • AUse Cortex LLM functions with a retrieval-augmented generation (RAG) pattern, querying Snowflake for relevant data.
   • BUse Cortex search functions only, without any LLM generation.
   • CUse Cortex anomaly detection to identify unusual orders.
   • DUse Cortex ML forecasting to predict order status.
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A logistics company needs to generate a short summary of daily delivery performance for each regional manager. The summary should be based on data in a Snowflake table. Which Cortex capability is most appropriate?

   • ACortex search
   • BCortex ML forecasting
   • CCortex LLM text generation
   • DCortex ML anomaly detection
   Reveal Solution Discussion Select an answer first