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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1. A data scientist is working on a new feature that involves querying a Cortex Search Service and integrating the results into various downstream processes. They are concerned about potential data type compatibility issues and limitations within the Snowflake environment. Which of the following statements accurately describe how to query a Cortex Search Service or the limitations of the 'VECTOR data type and Cortex Search itself? (Select all that apply)

A) Cortex Search Services can only be queried using the 'SNOWFLAKE.CORTEX.SEARCH_PREVIEW' SQL function and do not offer a programmatic interface for applications.
B) To retrieve the support ticket most relevant to a query about 'internet issues', filtered to return results only in the 'North America' region, one can use the 'filter' parameter in the 'SEARCH PREVIEW function's JSON argument like so:

C) The 'VECTOR data type, which stores the output of embedding models like those used by Cortex Search, is explicitly not supported in 'VARIANT columns.
D) The "VECTOR data type, used to store embeddings generated for Cortex Search, is fully supported as a primary key in Snowflake's hybrid tables to accelerate similarity searches.
E) Cortex Search Services can be configured as a source for Snowflake dynamic tables, enabling continuous and automated synchronization of the search index with base data.

2. A data analyst is using Snowflake Copilot in Snowsight to generate SQL queries for a new dataset containing customer PII. Which of the following statements accurately describes how Snowflake Copilot operates with respect to data access, governance, and model interaction?

A) To protect sensitive information, Snowflake Copilot transmits sampled PII data to an external LLM for schema understanding before generating SQL.
B) Snowflake Copilot directly accesses and processes the raw data within customer tables to understand its content and generate SQL.
C) While Snowflake Copilot generates SQL based on metadata, the generated SQL queries are executed in an isolated environment that does not respect existing Snowflake RBAC policies.
D) Snowflake Copilot requires explicit column-level grants for direct data access, similar to how a human analyst would query specific data points.
E) Snowflake Copilot is powered by a fine-tuned model that runs securely inside Snowflake Cortex, leveraging only database/schema/table/column names and data types, ensuring data remains within Snowflake's governance boundary and respects RBAC.

3. An organization is planning to implement a new Retrieval Augmented Generation (RAG) application and has chosen Snowflake Cortex Search as its core retrieval engine. To effectively manage their budget, the finance and data teams need a clear understanding of the various cost components associated with deploying and operating a Cortex Search Service. Which of the following represent distinct cost categories directly attributable to the deployment and ongoing operation of a Snowflake Cortex Search Service?

A) Storage for the materialized source data and the optimized search index data structures within the Snowflake account.
B) Cloud Services compute for monitoring underlying base objects for changes to trigger search service refreshes.
C) Compute costs for LLM inference (e.g., SNOWFLAKE.CORTEX.COMPLETE) when the RAG application uses the retrieved context to generate responses.
D) ' Services compute specifically for generating vector embeddings of text data during the indexing and update processes.
E) Virtual warehouse compute used for refreshing the search service's index and processing base object changes.

4. A Gen AI Specialist is setting up their Snowflake environment to deploy a high-performance open-source LLM for real-time inference using Snowpark Container Services (SPCS). They need to create a compute pool that can leverage NVIDIAAIOG GPUs to optimize model performance. Which of the following SQL statements correctly creates a compute pool capable of supporting an intensive GPU usage scenario, such as serving LLMs, while adhering to common configuration best practices for a new, small-scale deployment in Snowpark Container Services?

A)

B)

C)

D)

E)

5. A data science team is fine-tuning a mistral-lb model within Snowflake Cortex using proprietary customer interaction logs. Which of the following principles and practices apply to this fine-tuning process concerning data privacy, model ownership, and subsequent inference?

A) The fine-tuned model, which is a CORTEX_FINETUNED type, can be shared with other Snowflake accounts using secure data sharing.
B) The fine-tuning process occurs entirely within Snowflake's security and governance boundaries, ensuring the data never leaves the Snowflake environment.
C) The proprietary customer interaction logs used for fine-tuning are leveraged by Snowflake to improve the base mistral -7b model for all customers.
D) The fine-tuned model is fully managed by the Snowflake Model Registry API, allowing programmatic management of its lifecycle.
E) The resulting fine-tuned model is exclusively available to the data science team and cannot be accessed by other Snowflake customers.

Solutions: