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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation for Gen AI | 15-20% | - Data governance for AI workloads - Unstructured data handling - Document processing and chunking strategies - Vector stores and embeddings in Snowflake |
| Topic 2: Architecture and Best Practices | 10-15% | - Monitoring and evaluation frameworks - Cost management strategies - Security and privacy considerations - LLM pipeline architecture design - Performance optimization techniques |
| Topic 3: Snowflake Cortex AI Capabilities | 25-30% | - Snowflake Copilot integration - COMPLETE function usage and parameters - Model selection and cost optimization - Cortex AI functions and features - Secure data handling in AI workflows |
| Topic 4: Cortex Analyst and Semantic Layer | 20-25% | - Performance tuning for analytical queries - Business logic implementation in semantic models - Text-to-SQL translation and optimization - Semantic model design and configuration |
| Topic 5: Generative AI Fundamentals and Concepts | 20-25% | - Retrieval-Augmented Generation (RAG) concepts - LLM fundamentals and architectures - Vector embeddings and similarity search - Prompt engineering principles - Fine-tuning vs. retrieval approaches |
1. A developer is building a prototype Gen AI application using the Snowflake Cortex LLM REST API. During testing, they frequently encounter HTTP 429 'Too Many Requests' errors, particularly when rapidly invoking the 'COMPLETE endpoint. Which of the following statements accurately describes the usage quotas and troubleshooting steps for such rate limit events in the Cortex REST API?
A) Cortex REST API rate limits are primarily based on Requests per Minute (RPM) and do not consider the total Tokens Processed per Minute (TPM).
B) If the usage is below the RPM limit but still triggers a 429, the developer should review the token usage rate as TPM limits might be exceeded.
C) To resolve rate limiting, the developer should increase the virtual warehouse size for their API requests, as larger warehouses automatically increase API quotas.
D) The HTTP 429 response indicates that the daily credit consumption for Snowflake Cortex AISQL usage has exceeded the 10-credit limit for on-demand accounts without a valid payment method, requiring conversion to a paid account.
E) Rate limits are model-specific, and exceeding either the Tokens Processed per Minute (TPM) or Requests per Minute (RPM) limits will result in an HTTP 429 response code.
2. An administrator has configured the 'CORTEX_MODELS_ALLOWLIST parameter to only permit the 'mistral-large? model at the account level. A user with the 'PUBLIC' role, which has been granted 'SNOWFLAKE.CORTEX USER and 'SNOWFLAKE."CORTEX- MODEL-ROLE-LLAMA3.1-70B"' , attempts to execute several 'AI COMPLETE queries. Which of the following queries will successfully execute?
A)
B)
C)
D)
E) 
3. A Gen AI specialist is tasked with creating a Snowflake Cortex Search Service to power a Retrieval Augmented Generation (RAG) application for customer support transcripts. The goal is to allow semantic search over the 'transcript_text' column, filter results by 'region' and , and leverage a multilingual embedding model for high-quality results. The service should be created in the 'cortex_search_db.serviceS schema and use as the warehouse. Which of the following SQL commands correctly creates such a Cortex Search Service, assuming 'support_transcripts' is the source table and change tracking is enabled?
A)
B)
C)
D)
E) 
4. A data engineer is integrating a custom application with Snowflake Cortex to leverage the 'COMPLETE' function via its REST API. They are preparing a 'curl' request to send a prompt to the 'mistral-large? model. Which of the following 'curl' command configurations correctly specifies the ''mandatory'' authentication header and a valid token type for accessing the Cortex REST API?
A)
B)
C)
D)
E) 
5. A data platform administrator needs to retrieve a consolidated overview of credit consumption for all Snowflake Cortex AI functions (e.g., LLM functions, Document AI, Cortex Search) across their entire account for the past week. They are interested in the aggregated daily credit usage rather than specific token counts per query. Which Snowflake account usage views should the administrator primarily leverage to gather this information?
A) Option D
B) Option E
C) Option A
D) Option B
E) Option C
Solutions:
| Question # 1 Answer: B,E | Question # 2 Answer: A,C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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