Snowflake SnowPro Specialty Gen AI (GES-C01)
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Vendor
Snowflake
Certification
Data Science
Content
82 Qs
Status
Verified
Updated
23 hours ago
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Exam Overview
The Snowflake SnowPro Specialty Gen AI (GES-C01) certification validates your expertise in leveraging Snowflake's robust platform for Generative AI solutions. Achieving this certification demonstrates a specialized skill set in integrating large language models (LLMs), utilizing Snowflake Cortex, and building intelligent applications directly within the Data Cloud. This credential signifies a deep understanding of data preparation, prompt engineering, and the deployment of Gen AI workloads, positioning you as a crucial asset in organizations embracing AI-driven innovation. It enhances your professional credibility, opens doors to advanced roles in AI and data engineering, and showcases your ability to transform raw data into actionable intelligence, driving significant business value and competitive advantage.
Questions
60-65
Passing Score
700/1000
Duration
115 Minutes
Difficulty
Intermediate
Level
Specialist
Skills Measured
Career Path
Target Roles
Common Questions
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Free Study Guide Samples
Previewing updated GES-C01 bank (17 Questions).
When using the SNOWFLAKE.CORTEX.FINETUNE function, which column names must be included in the SQL statement in the training_data_query parameter? (Choose two.)
Correct Option:
What privileges must be granted to a user with the FNR_DEVELOP ROLE so the user can use Document AI on an existing pipeline? (Choose three.)
Correct Option:
A user opened the Snowflake Cortex LLM Playground in the AI& ML Studio in Snowsight, chose gemma-7b in the Standard models drop-down list and typed “What is Gen AI?” in the dialog box.
Which SQL statement will achieve the same result?
Correct Option:
A team has developed a ML model outside of Snowflake using a third-party framework. The model needs to be deployed within Snowflake to support centralized version control and metadata tracking.
Use of which Snowflake feature will meet these requirements?
Correct Option:
A Gen AI Specialist is writing a Python script that leverages Snowflake Cortex to answer users’ questions. The script contains this code:

Regardless of the content of the prompt (user_question) that is passed to snowflake.cortex.complete, the Specialist must ensure that the function filters potentially unsafe or harmful response language.
Which code will accomplish this?
Correct Option:
Which fields must be included in the body of an API request in order to submit the request to the Snowflake Cortex Analyst REST API endpoint? (Choose three.)
Correct Option:
Which Snowflake data type is returned when using the SNOWFLAKE.CORTEX.EMBED_TEXT_768 function?
Correct Option:
A Gen AI Specialist needs to use a Snowflake Cortex LLM function to categorize customer questions into two topics: support and food.
The Specialist created a table named QUERIES with these values:

Which command should be used?
Correct Option:
A Gen AI Specialist created a model using Python libraries. After training the model, they log it in a Snowflake Model Registry.
Where is the Model Registry stored in Snowflake?
Correct Option:
What costs are associated with Snowflake Cortex Search Services? (Choose two.)
Correct Option:
Which type of costs are incurred when using the Snowflake Cortex Search Service?
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Which commands can be used to show available Snowflake Cortex LLM models? (Choose two.)
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Review this metadata from a SNOWFLAKE.CORTEX.COMPLETE function response:

Which model parameters were used in the function?
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A Gen AI Specialist has registered a new model in the Snowflake Model Registry and granted the USAGE privilege to a custom role, TRAINEE_ROLE.
When a new user with the TRAINEE_ROLE attempted to download the model artifacts using the GET command, an error occurred.
What would cause the error?
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A company is organizing an event and asked participants for food restrictions. The responses have been saved in a table named EVENT_REGISTRATIONS:

Which query will compile a list of foods that should not be served?
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A Gen AI Specialist is building a pipeline in Snowflake to gather data that will be used to summarize customer chat messages.
This table, CHAT_MESSAGES was created:

The Specialist wants to use the Snowflake Cortex COMPLETE function with the llama3-8b model to create a summary of each conversation. The prompt should start with: “Summarize this chat:” followed by the full text of all messages in that chat conversation.
Which query will achieve this?
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A Gen AI Specialist needs to configure a Snowflake account located in AWS_APJ to process inference requests for Snowflake Cortex LLM functions in AWS_US and AWS_EU regions.
How should this be accomplished?
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