Prepare with Snowflake GES-C01 exam torrent, pass for sure

Snowflake GES-C01 Exam Overview:

Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. 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 E
B) Option D
C) Option A
D) Option C
E) Option B

2. A security architect is configuring access controls for a new custom role, 'document_processor_role' , which will manage Document AI operations within a designated database 'doc_processing_db' and schema 'doc_workflow_schema'. The goal is to grant only the minimum essential database-level role required to begin working with Document AI features.

A)

B)

C)

D)

E)

3. An ML engineer is preparing a Docker image for a custom LLM application that will be deployed to Snowpark Container Services (SPCS). The application uses a mix of packages, some commonly found in the Snowflake Anaconda channel and others from general open-source repositories like PyPI. They have the following Docker-file snippet and need to ensure the dependencies are correctly installed for the SPCS environment to support a GPU workload. Which of the following approaches for installing Python packages in the Dockerfile would ensure a robust and compatible setup for a custom LLM running in Snowpark Container Services, based on best practices for managing dependencies in this environment?

A)

B)

C)

D)

E)

4. A data engineering team is onboarding a new client whose workflow involves extracting critical financial data from thousands of daily scanned PDF receipts. They decide to use Snowflake Document AI and store all incoming PDFs in an internal stage name. After deploying their pipeline, they observe intermittent failures and varying error messages in the output, specifically:

Which two of the following actions are most likely required to resolve these processing errors?

A) Grant the 'SNOWFLAKCORTEX_USER database role to the role executing the '!PREDICT function.
B) Increase the 'max_tokens' parameter within the ' !PREDICT function options to accommodate longer document processing.
C) Change the virtual warehouse size from an X-Small to a Large to improve Document AI processing speed.
D) Ensure the internal stage is configured with 'ENCRYPTION = (TYPE = 'SNOWFLAKE_SSE')'.
E) Split any PDF documents exceeding 125 pages into smaller, compliant files, or reject them if splitting is not feasible.

5. A Gen AI Specialist needs to extract the 'invoice number' and 'total_amount' from a specific invoice PDF, 'invoice_001 .pdf, located in an internal stage named They want to use the default (latest) model build version for a model named 'invoice_processor'. Which SQL query correctly uses the '!PREDICT method to extract the required information, and what key fields would be present in the JSON output for a successful extraction of 'invoice_number' and 'total_amount'?

A)

B)

C)

D)

E)

Solutions: