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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Cortex Analyst and Semantic Layer | 20-25% | - Semantic model design and configuration - Text-to-SQL translation and optimization - Business logic implementation in semantic models - Performance tuning for analytical queries |
| Generative AI Fundamentals and Concepts | 20-25% | - Prompt engineering principles - Retrieval-Augmented Generation (RAG) concepts - Fine-tuning vs. retrieval approaches - LLM fundamentals and architectures - Vector embeddings and similarity search |
| Architecture and Best Practices | 10-15% | - LLM pipeline architecture design - Monitoring and evaluation frameworks - Security and privacy considerations - Cost management strategies - Performance optimization techniques |
| Data Preparation for Gen AI | 15-20% | - Vector stores and embeddings in Snowflake - Document processing and chunking strategies - Data governance for AI workloads - Unstructured data handling |
| Snowflake Cortex AI Capabilities | 25-30% | - Model selection and cost optimization - Secure data handling in AI workflows - COMPLETE function usage and parameters - Snowflake Copilot integration - Cortex AI functions and features |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
1. A Snowflake administrator is tasked with monitoring and optimizing costs for various Gen AI applications leveraging Snowflake Cortex LLM functions. They need to generate a report detailing token consumption for individual API calls to identify high-usage patterns and specific models. Which of the following Snowflake account usage views or methods would provide the most granular insights into prompt, completion, and guardrail token usage for Cortex LLM function calls?
A) Option B
B) Option C
C) Option A
D) Option E
E) Option D
2. A data engineer is setting up a Document AI pipeline to extract information from scanned invoices stored in an internal stage named 'invoice_stage'. They have created the stage using 'CREATE STAGE and uploaded several PDF documents. However, when attempting to run the extraction query, they encounter an error message: 'File extension does not match actual mime type. Mime- Type: application/octet-stream'. Additionally, they anticipate a privilege issue might arise for pipeline automation. Which of the following conditions must be met to resolve the current error and ensure proper setup for Document AI extraction and subsequent pipeline creation?
A) Option B
B) Option C
C) Option A
D) Option E
E) Option D
3. An engineering team is building an advanced analytics pipeline where daily customer activity vectors (each 512 dimensions) are compared against a set of known activity patterns using VECTOR_L2_DISTANCE The pipeline is orchestrated using Snowflake Tasks. Which operational best practice or limitation should the team consider when processing these vector distances at scale?
A) Snowflake recommends using smaller warehouses (no larger than MEDIUM) for executing queries that call Cortex AI SQL functions, as larger warehouses do not necessarily increase performance, and this guidance extends to vector similarity functions.
B) The
C) When embedding external data into the Snowflake environment for
D) For optimal performance of
E) To handle potential errors from
4. 
A) The parameter provides granular control at the database or schema level, allowing administrators to define different sets of approved models for different data contexts.
B) If a user attempts to call an LLM not explicitly listed in the via the Cortex LLM Playground, Snowflake will automatically fall back to the 'snowflake-arctic' model for that request.
C) The 'ACCOUNTADMIN' must execute the SQL command:
D) Enabling Cortex Guard for 'AI_COMPLETE through the 'guardrails' option automatically bypasses the 'CORTEX_MODELS_ALLOWLIST to ensure all LLMs can be used for content safety filtering.
E) Users with 'ds_team_role' will still be able to successfully call
5. A data application developer is using the Snowflake Cortex COMPLETE function to power a multi-turn conversational AI application. They want to ensure responses are creative but not excessively long, adhere to a specific JSON structure, and are filtered for safety. Given the following SQL query snippet, which statements accurately describe the impact of the specified options?
A) The
B) For a multi-turn conversation, previous user prompts and model responses should be passed in the
C) Including a
D) Setting
E) The
Solutions:
| Question # 1 Answer: A,E | Question # 2 Answer: B,C | Question # 3 Answer: A | Question # 4 Answer: C,E | Question # 5 Answer: A,C,E |
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