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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A data engineer is configuring a Document AI pipeline to process scanned PDF invoices stored in an internal stage named 'invoice_docs_stage'. After uploading the PDF files, they execute an extracting query using '!PREDICT. The query consistently returns the error:

Which of the following is the most likely cause of this error?

A) The 'GET_PRESIGNED_URL' function used in the '!PREDICT query has an expired URL.
B) The Document AI model build is attempting to process more than 1000 documents in a single query.
C) The internal stage was not created with 'SNOWFLAKE_SSE' encryption enabled.
D) The PDF documents exceed the maximum allowed file size of 50 MB.
E) The documents contain non-English text, which is not fully supported by Document AI for optimal results.

2. A data analytics team is building a Retrieval Augmented Generation (RAG) application to provide contextual answers from a vast repository of internal documents stored in Snowflake. They are evaluating different strategies for generating and retrieving text embeddings to optimize the overall RAG pipeline's performance and relevance. Which of the following statements accurately describe performance considerations related to embedding generation and retrieval in this RAG context? (Select all that apply)

A) Option C
B) Option D
C) Option A
D) Option B
E) Option E

3. A multi-national corporation uses Snowflake across several AWS regions. Their primary operational Snowflake account is in AWS US East (Ohio), but they need to leverage a specific AI_COMPLETE model, llama4-maverick, which is natively available in AWS US East 1 (N. Virginia) but not in US East (Ohio). To address this, the Snowflake administrator enables cross-region inference for their US East (Ohio) account.

A) Option C
B) Option D
C) Option A
D) Option B
E) Option E

4. A data application developer is tasked with building a multi-turn conversational AI application using Streamlit in Snowflake (SiS) that leverages the COMPLETE (SNOWFLAKE. CORTEX) LLM function. To ensure the conversation flows naturally and the LLM maintains context from previous interactions, which of the following is the most appropriate method for handling and passing the conversation history?

A) Option C
B) Option D
C) Option A
D) Option B
E) Option E

5.

A)

B)

C) The USAGE privilege on the specific database and schema where the Streamlit application and its underlying data tables are located.
D) The CREATE COMPUTE POOL privilege to provision resources for the Streamlit application.
E) The ACCOUNTADMIN role to ensure unrestricted access to all Snowflake Cortex features.

Solutions: