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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A marketing team is analyzing social media comments using Snowflake and wants to categorize them into predefined campaign sentiments (e.g., 'Positive Campaign Engagement', 'Negative Campaign Feedback', 'Neutral Discussion'). They decide to use the SNOWFLAKE. CORTEX. CLASSIFY TEXT function for this task. Which of the following statements about its usage are correct?

A) To provide more context and potentially improve classification accuracy, categories within the can be defined as SQL objects, including 'description' and 'examples' fields.
B) The input string to CLASSIFY_TEXT is case-insensitive, meaning 'Great product!' and 'great product!' will yield identical classification results due to automatic normalization.
C) If the input text exceeds a model-specific token limit, CLASSIFY_TEXT will automatically truncate the text before processing without raising an error.
D) The argument must contain exactly two string values for effective binary classification, otherwise an error is returned.
E) CLASSIFY_TEXT can return a JSON object with a 'label' field, where the value of this field indicates the classified category of the input text.

2. 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) 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.
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) 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.
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) 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.

3. A data engineer is designing a new feature for a Retrieval Augmented Generation (RAG)-based application in Snowflake. They plan to store document embeddings and perform semantic similarity searches to retrieve relevant context for an LLM. Which of the following statements about using the VECTOR data type and related functions in Snowflake are true? (Select all that apply.)

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

4. A data engineering team is designing a scalable data pipeline in Snowflake that involves processing large text inputs with Cortex AI LLM functions. They want to ensure cost efficiency and prevent queries from failing due to exceeding LLM context window limits. They plan to use SNOWFLAKE. CORTEX. COUNT_TOKENS for pre-validation. Which of the following statements are TRUE about the role and cost of COUNT_TOKENS in this scenario? (Select all that apply)

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

5.

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

Solutions: