Snowflake GES-C01 valid exam dumps : SnowPro® Specialty: Gen AI Certification Exam

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Snowflake GES-C01 Exam Syllabus Topics:

Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

1.

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

2. A business intelligence team wants to enable non-technical users to query their Snowflake data using natural language for sales analytics reports via Cortex Analyst. They are designing the YAML semantic model. Which of the following statements accurately describe key aspects of designing and utilizing a semantic model for Cortex Analyst?

A) The base_table field in a logical table definition must directly reference a physical table and cannot point to a view, as Cortex Analyst only works with raw tables for performance reasons.
B) Dimensions in the semantic model YAML, such as 'state' or 'product_category', can include synonyms to map common business terms to underlying technical column names, thereby improving natural language understanding for users.
C) To optimize performance, Snowflake recommends including all available tables and columns from the underlying database in a semantic model, especially for complex analytical tasks.
D) facts in a semantic model are primarily used to define categorical data, such as product types or customer segments, to support filtering operations.
E) The VARIANT, OBJECT, GEOGRAPHY, and ARRAY data types are fully supported for dimension and fact columns within a semantic model, offering flexibility for diverse data structures.

3. A data scientist is tasked with improving the accuracy of an LLM-powered chatbot that answers user questions based on internal company documents stored in Snowflake. They decide to implement a Retrieval Augmented Generation (RAG) architecture using Snowflake Cortex Search. Which of the following statements correctly describe the features and considerations when leveraging Snowflake Cortex Search for this RAG application?

A) The

B) Enabling change tracking on the source table for the Cortex Search Service is optional; the service will still refresh automatically even if change tracking is disabled.
C) To create a Cortex Search Service, one must explicitly specify an embedding model and manually manage its underlying infrastructure, similar to deploying a custom model via Snowpark Container Services.
D) Cortex Search automatically handles text chunking and embedding generation for the source data, eliminating the need for manual ETL processes for these steps.
E) For optimal search results with Cortex Search, source text should be pre-split into chunks of no more than 512 tokens, even when using models with larger context windows like

4. 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) 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.
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) 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.
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.

5. A data engineering team wants to deploy a proprietary PyCaret classification model, saved as pycaret_best_model.pkl, for inference within Snowpark Container Services (SPCS). They need to register this custom model in the Snowflake Model Registry. Which of the following is a correct and essential step in this process?

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

Solutions: