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Snowflake GES-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Snowflake Cortex AI Capabilities | 25-30% | - COMPLETE function usage and parameters - Secure data handling in AI workflows - Cortex AI functions and features - Model selection and cost optimization - Snowflake Copilot integration |
| Cortex Analyst and Semantic Layer | 20-25% | - Semantic model design and configuration - Business logic implementation in semantic models - Text-to-SQL translation and optimization - Performance tuning for analytical queries |
| Architecture and Best Practices | 10-15% | - Monitoring and evaluation frameworks - Security and privacy considerations - LLM pipeline architecture design - Performance optimization techniques - Cost management strategies |
| Data Preparation for Gen AI | 15-20% | - Vector stores and embeddings in Snowflake - Document processing and chunking strategies - Unstructured data handling - Data governance for AI workloads |
| Generative AI Fundamentals and Concepts | 20-25% | - Fine-tuning vs. retrieval approaches - Vector embeddings and similarity search - LLM fundamentals and architectures - Retrieval-Augmented Generation (RAG) concepts - Prompt engineering principles |
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:
A data pipeline processes thousands of scanned legal contracts daily using a Document AI model via the '!PREDICT function. The process involves fetching presigned URLs for documents from an internal stage using 'GET PRESIGNED URL'. Recently, the pipeline has started failing intermittently, returning the error:
The data engineering team confirms network connectivity and privileges are stable. Which of the following is the most likely cause of this issue?
- A. The internal stage is not configured with
- B. The Document AI model build has not been published to the production environment.
- C. The
- D. The documents contain handwritten annotations, which Document AI struggles to process effectively.
- E. The virtual warehouse assigned to the Document AI pipeline is undersized (e.g., X-Small), leading to slow processing that indirectly causes URL expiration.
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A data platform architect is evaluating the integration of 'SNOWFLAKE.CORTEX.TRANSLATE into several automated data pipelines. One pipeline involves real-time translation of messages for a chat application, while another is for batch processing of archived documents. The architect is considering various Snowflake features for orchestration and deployment. Which of the following considerations about 'SNOWFLAKE.CORTEX.TRANSLATE is accurate?
- A. The 'TRANSLATE' function can be seamlessly integrated into a dynamic table's ' SELECT statement to provide continuous, automated translation with minimal configuration.
- B. If 'TRANSLAT' is not natively available in the account's primary Snowflake region, cross-region inference cannot be enabled, thus preventing its use.
- C. To manage potential failures in a production pipeline, 'SNOWFLAKCORTEX.TRANSLATE should be wrapped in 'TRY COMPLETE' for robust error handling, returning NULL on failure instead of an error.
- D. The Snowflake managed model used by the 'TRANSLATE' function has a context window of 4,096 tokens, meaning texts longer than this will be truncated before translation.
- E. When using 'TRANSLATE within a Snowpark Python User-Defined Function (UDF), the raw text data must be explicitly moved out of Snowflake's network boundary to the underlying LLM service for translation.
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A Snowflake data engineering team needs to implement a system where they can call the SNOWFLAKE .CORTEX. COMPLETE function using the model, which is hosted in a different region than their primary Snowflake account. They also want to ensure that only llama3.1-8b approved models are callable. Which of the following configurations or privileges are necessary to achieve these requirements?
- A. Option A
- B. Option D
- C. Option C
- D. Option B
- E. Option E
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A data engineer is tasked with establishing a robust MLOps pipeline using the Snowflake Model Registry. They have trained a scikit-learn model and need to log it. Which of the following statements correctly describes a 'required' step or privilege for successfully logging a model using the 'Registry.log_model' method?
- A. Option A
- B. Option D
- C. Option C
- D. Option B
- E. Option E
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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.
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