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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake for Gen AI Overview | 26% | - Cortex AI components: Cortex Search, Cortex Analyst, Cortex LLMs - Role-based access control (RBAC) for AI resources - Snowflake Gen AI principles and best practices - Snowflake Copilot and AI assistant capabilities |
| Topic 2: Snowflake Document AI | 12% | - Performance optimization and troubleshooting - Document AI setup and configuration - Data extraction and structured output - Document preparation and processing |
| Topic 3: Snowflake Gen AI Governance | 22% | - Guardrails, safety controls, and bias mitigation - AI governance framework and policies - Cost management and token-based pricing - Monitoring, logging, and observability - Audit and compliance for AI workloads |
| Topic 4: Snowflake Gen AI & LLM Functions | 40% | - Cortex LLM functions: COMPLETE, CLASSIFY_TEXT, EXTRACT_ANSWER, SENTIMENT, SUMMARIZE, TRANSLATE - API integration and authentication - RAG implementation in Snowflake - Model deployment with Snowpark Container Services and Model Registry - Embedding functions: EMBED_TEXT_*, vector storage and similarity search |
1. 
A)
B)
C)
D)
E) 
2. A global marketing team uses Snowflake to manage customer feedback in various languages. They need to translate customer reviews from German ("de") into English ("en") for analysis. The reviews are stored in a table named 'CUSTOMER REVIEWS' in a column called 'REVIEW TEXT'. Which of the following SQL statements correctly applies the 'SNOWFLAKE.CORTEX.TRANSLATE function and what is the expected return type for the translated text?
A) The query
B) The query
C) The query
D) The query
E) The query
3. A Snowflake developer, 'AI _ ENGINEER , is creating a Streamlit in Snowflake (SiS) application that will utilize a range of Snowflake Cortex LLM functions, including SNOWFLAKE. CORTEX. COMPLETE, SNOWFLAKE .CORTEX.CLASSIFY TEXT, and SNOWFLAKE. CORTEX. EMBED TEXT 768. The application also needs to access data from tables within a specific database and schem a. 'AI _ ENGINEER has created a custom role, for the application to operate under. Which of the following privileges or roles are absolutely necessary to grant to for the successful execution of these Cortex LLM functions and interaction with the specified database objects? (Select all that apply.)
A) The USAGE privilege on the specific database and schema where the Streamlit application and its underlying data tables are located.
B)
C) The ACCOUNTADMIN role to ensure unrestricted access to all Snowflake Cortex features.
D) The CREATE COMPUTE POOL privilege to provision resources for the Streamlit application.
E) 
4. A Snowflake team observes consistently high token costs from 'SNOWFLAKE.ACCOUNT_USAGE.CORTEX_FUNCTIONS_QUERY_USAGE_HISTORY' for a summarization task using the 'mistral- large2' model. The task involves summarizing legal documents, which often exceed the context window of common LLMs. To optimize these token-based costs, which strategy should the team prioritize?
A) Option D
B) Option C
C) Option E
D) Option B
E) Option A
5. A data governance team is concerned about the consistency and compliance of SQL queries generated by Cortex Analyst for sensitive financial reporting. They need to ensure that all generated SQL for a specific semantic model always includes a 'WHERE' clause that filters data for 'region = 'EMEA" and adheres to 'ISO 8601' date formatting for all date columns, regardless of the user's natural language input. Which of the following approaches is the MOST effective for implementing these strict, overarching requirements within Cortex Analyst's semantic model?
A) Option D
B) Option C
C) Option E
D) Option B
E) Option A
Solutions:
| Question # 1 Answer: A,B,C,D,E | Question # 2 Answer: C | Question # 3 Answer: A,E | Question # 4 Answer: B | Question # 5 Answer: D |
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