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Snowflake GES-C01 Exam Syllabus Topics:

SectionWeightObjectives
Snowflake Gen AI & LLM Functions40%- Embedding functions: EMBED_TEXT_*, vector storage and similarity search
- API integration and authentication
- RAG implementation in Snowflake
- Model deployment with Snowpark Container Services and Model Registry
- Cortex LLM functions: COMPLETE, CLASSIFY_TEXT, EXTRACT_ANSWER, SENTIMENT, SUMMARIZE, TRANSLATE
Snowflake Gen AI Governance22%- Audit and compliance for AI workloads
- Cost management and token-based pricing
- AI governance framework and policies
- Guardrails, safety controls, and bias mitigation
- Monitoring, logging, and observability
Snowflake for Gen AI Overview26%- Role-based access control (RBAC) for AI resources
- Snowflake Copilot and AI assistant capabilities
- Snowflake Gen AI principles and best practices
- Cortex AI components: Cortex Search, Cortex Analyst, Cortex LLMs
Snowflake Document AI12%- Document AI setup and configuration
- Performance optimization and troubleshooting
- Document preparation and processing
- Data extraction and structured output

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

An AI developer is testing a new RAG application in Snowflake. The application uses

in this scenario?

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option E
  • E. Option B
Reveal Solution  Discussion  0

Correct Answer: B,E  🗳️

Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).

A data engineer is building a Snowflake data pipeline to ingest customer reviews from a raw staging table into a processed table. For each review, they need to determine the overall sentiment (positive, neutral, negative) and store this as a distinct column. The pipeline is implemented using SQL with streams and tasks to process new dat a. Which Snowflake Cortex LLM function, when integrated into the SQL task, is best suited for this sentiment classification and ensures a structured, single-label output for each review?

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option E
  • E. Option B
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).

A financial institution uses Snowflake Cortex Analyst with strict role-based access control (RBAC) on their Snowflake-hosted LLMs. The security team has granted specific 'CORTEX-MODEL-ROLE application roles to different analyst teams, ensuring they only access approved models. A new requirement arises to enable Azure OpenAI GPT models for Cortex Analyst to leverage a specific feature. An administrator proceeds to execute:

Which of the following statements accurately describe the implications of this change?

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option E
  • E. Option B
Reveal Solution  Discussion  0

Correct Answer: C,E  🗳️

Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).

A security-conscious data scientist in an Azure East US 2 (Virginia) account wants to fine-tune a mistral -7b model for a specific text summarization task and then deploy it for real-time inference using the Cortex REST API. The mistral-7b base model is natively available for fine-tuning in Azure East US 2 (Virginia). For subsequent inference using the fine-tuned model, they need to understand the regional and cross-region inference considerations. Which of the following statements are correct?

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option E
  • E. Option B
Reveal Solution  Discussion  0

Correct Answer: A,B,D,E  🗳️

Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).

A development team is creating a new search application using Snowflake Cortex Search. They are currently using a 'snowflake-arctic- embed-I-v2.0' embedding model. After an initial load of 10 million rows, each with approximately 500 tokens of text, they observe a significant 'EMBED_TEXT_TOKENS' cost. They want to minimize these costs for future updates and ongoing operations. Considering their goal to optimize 'EMBED_TEXT_TOKENS' costs, which two strategies should the team prioritize for their Cortex Search Service?

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option E
  • E. Option B
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).

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