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Snowflake GES-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cortex Analyst and Semantic Layer20-25%- Text-to-SQL translation and optimization
- Performance tuning for analytical queries
- Business logic implementation in semantic models
- Semantic model design and configuration
Topic 2: Snowflake Cortex AI Capabilities25-30%- COMPLETE function usage and parameters
- Snowflake Copilot integration
- Cortex AI functions and features
- Model selection and cost optimization
- Secure data handling in AI workflows
Topic 3: Data Preparation for Gen AI15-20%- Document processing and chunking strategies
- Unstructured data handling
- Vector stores and embeddings in Snowflake
- Data governance for AI workloads
Topic 4: Generative AI Fundamentals and Concepts20-25%- Fine-tuning vs. retrieval approaches
- Prompt engineering principles
- Retrieval-Augmented Generation (RAG) concepts
- LLM fundamentals and architectures
- Vector embeddings and similarity search
Topic 5: Architecture and Best Practices10-15%- Performance optimization techniques
- Cost management strategies
- Security and privacy considerations
- Monitoring and evaluation frameworks
- LLM pipeline architecture design

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A data engineering team is setting up a new Cortex Search Service named to power a RAG application over their table, which stores historical ticket text and metadata. They need to ensure proper setup, cost efficiency, and data integrity. Which of the following statements are true regarding the creation and initial configuration of this Cortex Search Service? (Select all that apply)

A) The 'CREATE CORTEX SEARCH SERVICE command should specify a Snowpark-optimized warehouse for optimal performance, as it is designed for memory-intensive ML workloads.
B) Columns intended to be filterable in search queries must be explicitly listed in the 'ATTRIBUTES' field during service creation and must also be included in the source query for the service.
C) The role used to create the Cortex Search Service must be granted the 'SNOWFLAKE.CORTEX_USER database role.
D) To enable continuous updates of the search index as new tickets are added,

E) If the service is created using the Snowsight AI & ML Studio, its name will be double-quoted, and thus must be double-quoted when referenced in subsequent SQL queries.


2. A developer is building a conversational application using Snowflake Cortex Analyst and is interacting with it via the REST API. The application needs to support multi-turn conversations where users can ask follow-up questions. Which of the following statements accurately describe how to maintain conversational state and interact with the Cortex Analyst REST API for a multi-turn experience?

A) The argument, when using the 'COMPLETE function (or its API equivalent), must be a string for single-turn conversations but an array of objects for multi-turn conversations, with each object containing 'role' and 'content'.
B) A special 'RESET_CONVERSATION' API endpoint should be called periodically to clear the LLM's internal context and manage token consumption for long conversations.
C) The Cortex Analyst REST API automatically retains the full conversation history for each user session, eliminating the need to explicitly pass previous messages.
D) To maintain state, the application must construct a 'messages' array for each new prompt, including all prior 'user' prompts and 'analyst' responses in chronological order, and send it with every API call.
E) For performance optimization, only the most recent user prompt and the immediate preceding analyst response should be passed in the 'messages' array for follow-up questions.


3. 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 A
B) Option E
C) Option B
D) Option C
E) Option D


4. A data engineering team is building an automated pipeline in Snowflake to process customer reviews. They need to use AI_COMPLETE to extract specific details like product, sentiment, and issue type, and store them in a strictly defined JSON format for seamless downstream integration. They aim to maximize the accuracy of the structured output and manage potential model limitations. Which statements accurately reflect the best practices and characteristics when using AI_COMPLETE with structured outputs for this scenario?

A) Option A
B) Option E
C) Option B
D) Option C
E) Option D


5. An ML engineer is working on a Snowflake project that requires storing and comparing high-dimensional feature vectors extracted from customer interaction logs. They need to ensure the vector data type is correctly defined and then perform an inner product calculation.
Which of the following statements about defining and using the
VECTOR
data type and
VECTOR_INNER_PRODUCT
function in Snowflake SQL are correct? (Select all that apply)

A) The
B) Direct comparison operators like
C) When calling

D) The

E) To store a vector with 512 floating-point dimensions in a table, the correct SQL syntax for adding a column would be:


Solutions:

Question # 1
Answer: B,C,D,E
Question # 2
Answer: A,D
Question # 3
Answer: A,D
Question # 4
Answer: B,C,D
Question # 5
Answer: A,C,E

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