Exam GES-C01 Topic 1 Question 141 Discussion

For summarizing very lengthy technical support calls (up to 20,000 tokens), a model with a sufficiently large context window is essential. (the updated version of offers flexibility for detailed summarization with prompt engineering. A model like 'mistral-large? has a context window of 128,000 tokens, making it suitable for such long inputs. Encapsulating complex prompt logic within a SQL User Defined Function (UDF) is a recommended practice for better management and reusability in data pipelines. For classifying sentiment into predefined categories ('positive', 'neutral', 'negative'), (the updated version of is purpose-built and directly returns the classification label. A. is a generic summarization function, but 'AI_COMPLETE with a large model provides more control for 'actionable insights'. returns a numerical score, requiring additional logic for categorical output. C. 'SNOWFLAKE.CORTEX.EXTRACT ANSWER()' is designed to extract specific answers to questions, not to summarize text. Using it multiple times for summarization would be inefficient and less effective. While can perform classification, is the specialized function for this task. D. 'gemma-7b' has a context window of 8,000 tokens, which is insufficient for processing calls up to 20,000 tokens, potentially leading to truncation or incomplete results. E. and SUMMARIZE AGG()' are designed to aggregate insights or summaries 'across multiple rows' or groups of text, not to summarize a single, lengthy document. returns a boolean result, making it less suitable for multi-category classification directly.