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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A company is building a chatbot for internal support, powered by Snowflake Cortex LLMs. The primary goals are to provide answers that are accurate, grounded in proprietary documentation, and to minimize factual 'hallucinations'. They are considering various strategies to achieve this. Which of the following statements correctly describe effective methods or tools within Snowflake for addressing these concerns?

A) Deploying a custom fine-tuned model using SNOWFLAKE. CORTEX. FINETUNE on proprietary documentation is the most effective approach to ensure factual accuracy for any LLM task.
B) Enabling Cortex Guard with guardrails: true directly addresses model hallucinations by ensuring responses are always factually correct and aligned with the provided context.
C) For tasks requiring LLMs to generate SQL queries from natural language, using the can improve accuracy by Cortex Analyst Verified Query Repository (VQR) leveraging pre-verified SQL queries for similar questions.
D) AI Observability can be leveraged to systematically evaluate applications, measuring metrics like 'factual correctnesS and 'groundedness' to detect and mitigate hallucinations, especially in summarization.
E) Using Cortex Search as a Retrieval Augmented Generation (RAG) engine can enhance LLM responses by providing relevant context from proprietary documentation, thereby reducing hallucinations.

2. A marketing analyst wants to quickly gauge the overall sentiment of customer feedback stored in a Snowflake table called CUSTOMER_FEEDBACK, which has a column FEEDBACK_TEXT. They decide to use the SNOWFLAKE .CORTEX.SENTIMENT function to process a review. Consider the following SQL query for a specific review:

Which of the following correctly describes the expected output format and interpretation of the sentiment_score for the given input?

A) The output will be a string like 'Positive' or 'Negative', and a score close to 1 indicates strong positive sentiment.
B) The output will be an integer between 0 and 1 00, where higher values denote more positive sentiment.
C) The output will be a floating-point number between -1 and 1 (inclusive), where a value of 1 indicates strong positive sentiment and -1 indicates strong negative sentiment.
D) The output will be a boolean value (TRUE/FALSE) indicating if the sentiment is positive, and 0.5 represents a neutral sentiment.
E) The output will be a JSON object containing a 'label' field, and values around 0 indicate a neutral sentiment.

3. A Snowflake account administrator in an Azure East US 2 region needs to enable users to access a new, highly capable LLM, 'claude-3-5-sonnet' , which is currently only natively available in AWS regions via Snowflake Cortex. The administrator also wants to ensure that only specific, approved LLMs can be used across the organization. Which configuration steps are necessary for the administrator to achieve these requirements?

A) Set the account parameter to include 'claude-3-5-sonnet' , and then set the account parameter to 'TRUE to allow cross-region inference for all Cortex features.
B) The 'CORTEX ENABLED CROSS REGION' parameter allows access to models in other regions, but access to specific LLMs is controlled solely by individual user privileges granted directly on the model objects, not by an account-level allowlist.
C) Since 'claude-3-5-sonnet' is an OpenAl model, the administrator must enable the 'ENABLE_CORTEX ANALYST MODEL AZURE OPENAI' account parameter, and then the model will automatically be available for cross-region inference without further action.
D) Create a 'COMPUTE POOL' with a 'GPU NV_S instance family in Azure East US 2, and then deploy a custom PyCaret model of 'claude-3-5-sonnet' to this pool through the Snowflake Model Registry.
E) Grant the 'SNOWFLAKE.CORTEX_USER database role to the relevant user roles. Set the account parameter to 'ANY REGION' or a list including an AWS region where 'claude-3-5-sonnet' is natively available. Additionally, configure the 'CORTEX MODELS ALLOWLIST to explicitly permit 'claude-3-5-sonnet' and other desired models.

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

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

in this scenario?

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

Solutions: