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Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A Gen AI Engineer is configuring a new semantic model for Cortex Analyst to process customer feedback. The goal is to ensure that when a user asks for sentiment analysis, the generated SQL queries always include an aggregation by a dimension and present the results as a percentage. The engineer plans to use custom instructions for this purpose. Which of the following details about is true and crucial for successful implementation?

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

2. A development team is building an AI-powered data pipeline in Snowflake. The pipeline involves extracting text from documents, generating embeddings using

,and then performing similarity searches using

to find related documents. They plan to manage this pipeline using Snowflake tasks and want to integrate with a Python application for some custom processing. Considering this scenario, which of the following statements about implementing this pipeline are true?

A)

B) When using Snowflake tasks to automate the embedding generation and similarity search,
C) Snowflake
D) If the team wants to use the Snowpark Python library to call

E) To generate document embeddings, the

3. An enterprise is deploying a Cortex Analyst application and needs to manage its cost, ensure data security, and understand its operational behavior within Snowflake. Which of the following statements are true regarding the deployment, cost, and security of Cortex Analyst and its semantic models?

A) Administrators can monitor Cortex Analyst requests, including the user, question asked, generated SQL, and errors, by querying the SNOWFLAK LOCAL. CORTEX ANALYST_REQUESTS function.
B) Semantic models for Cortex Analyst, stored as YAML files in a Snowflake stage, should have their stage access controlled by RBAC to implicitly control access to the underlying tables referenced in the semantic model.
C) The CORTEX_ANALYST_USER database role is sufficient for making requests to Cortex Analyst, and the cost incurred is solely based on the number of tokens processed by the underlying LLMs, not per message.
D) Enabling the account parameter is the recommended approach for using Azure OpenAI models with Cortex Analyst to ensure the highest performance and adherence to RBAC restrictions.
E) Cortex Analyst applications are fully managed, and by default, all data, including metadata and prompts, remain within Snowflake's governance boundary when using Snowflake-hosted LLMs from Mistral and Meta.

4. A data scientist is preparing a large text document for processing with Snowflake Cortex LLMs. They need to use the COUNT_TOKENS function to estimate the input token count for different models. Given the statement

which of the following statements about the COUNT_TOKENS function and its output is TRUE?

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

5. A data engineer is tasked with establishing AI Observability for a generative AI application that integrates with external systems and will undergo continuous improvement. The goal is to compare different iterations of the application efficiently. Which combination of configuration best practices, features, and governance aspects are most relevant for a robust setup of AI Observability within Snowflake for this scenario?

A) For access control, the role used to create and execute runs must be granted the 'SNOWFLAKE.CORTEX_USER database role and the 'AI_OBSERVABILITY_EVENTS_LOOKUPS application role.
B) If the AI Observability service is not natively available in the primary region, enable to ' ANY_REGION' or a specific supported region to allow tracing and evaluation to proceed.
C) Run the AI Observability project directly within a Snowflake Notebook to leverage its integrated environment for easier debugging and iteration.
D) To compare different LLMs or prompt configurations, rely on the AI Observability's 'Comparisons' feature, which allows side-by-side analysis of evaluation metrics across multiple evaluations.
E) Ensure the Python environment includes 'trulens-core', 'trulens-connectors-snowflake', and 'trulens-providers-cortex' (version 2.1.2 or later) and set the environment variable TRULENS_OTEL_TRACING to 1.

Solutions: