SnowPro Specialty: Gen AI free question 1 / 10 · Domain 1: Snowflake for Gen AI Overview
A market research firm wants customers to ground their Cortex chatbots in the firm's licensed article archive as a Cortex Knowledge Extension. What does the firm build and share?
- A stage of article PDFs that consumers read with AI_PARSE_DOCUMENT.
- A model fine-tuned on the articles and logged in the Model Registry.
- A semantic view for Cortex Analyst over the article table, in a listing.
- A Cortex Search Service on the text table, shared in a listing.
Show the answer and explanation
Answer: D
Why this is correct
The page describes the flow in three steps. A provider uploads its text data into a table and creates a Cortex Search Service on that table, then shares the service on the Snowflake Marketplace or through organizational listings. A consumer builds a Cortex AI application, such as a chatbot, with Cortex AI Functions or the Cortex Agent API. When a prompt arrives, it is passed to the extension, which runs a semantic search and returns relevant knowledge to the application's LLM.
Why the other options are wrong
"A semantic view for Cortex Analyst over the article table, in a listing." … A semantic view describes structured data for text-to-SQL. A knowledge extension serves unstructured text by semantic search, which is not what a semantic view provides.
"A model fine-tuned on the articles and logged in the Model Registry." … A fine-tuned model is not what a provider shares here. The extension returns relevant passages at query time for retrieval-augmented generation, rather than baking the articles into model weights.
"A stage of article PDFs that consumers read with AI_PARSE_DOCUMENT." … Consumers do not receive raw files to parse. What is shared is a search service that already indexes the provider's text.
Why a search service
Knowledge extensions are a retrieval-augmented generation (RAG) building block: the consumer's model stays the same and the provider's content arrives as retrieved context. That is why the shared object is a Cortex Search Service and not a model or a dataset.
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