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SnowPro® Specialty: Gen AI — Requirements & Free Practice

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SnowPro® Specialty: Gen AI

Snowflake certification validating specialized knowledge, skills and best practices for Gen AI methodologies in Snowflake.

Licensing authority: Snowflake, Inc. · Application information

Initial by examination
SnowPro® Specialty: Gen AI Certification Exam
Agreement
Accept Snowflake's Certification Terms & Conditions during registration.
Applicability
The current official GES-C02 page links the applicable current study guide and registration. No official calendar start date is stated; validFrom remains null.
Candidate Profile
One or more years of enterprise Snowflake Gen AI experience is the target profile; data engineering and SQL knowledge is assumed, and Python proficiency may be useful. These recommendations do not create another examination requirement.
Certification Requirement
Take the applicable GES-C02 certification examination and receive Snowflake's passing score.
Eligibility
At least 18 years old; register under full legal name and present valid government-issued photo ID.
Prerequisite Certifications
No Prerequisites

SnowPro® Specialty: Gen AI Certification Exam

Provider
Pearson Vue
Format
Multiple Select, Multiple Choice
Exam questions
Total questions: 55.
Time limit
85 minutes
Passing score
750 on a scaled score of 0–1000
Exam fee
$225 USD (US registration)
Examination outline
  • Snowflake for Gen AI Overview (18%)
    • Define Snowflake’s Gen AI principles and features.
    • Outline Gen AI capabilities in Snowflake.
  • Snowflake Gen AI Functions (38%)
    • Apply AI functions in Snowflake.
    • Perform data analysis given a use case.
    • Build or interact with interfaces to chat with data in Snowflake.
    • Apply Snowflake Cortex functions in data pipelines.
    • Run third-party models in Snowflake.
  • Snowflake Gen AI Governance (29%)
    • Set up model access controls.
    • Grant and revoke Role-Based Access Control (RBAC) and privileges.
    • Manage, monitor, and optimize Snowflake Cortex costs.
    • Use Snowflake AI observability tools.
  • Snowflake Document Processing (15%)
    • Use document parsing functions.
    • Prepare and manage documents and implement extracting workflows.
    • Build automated document processing pipelines with Cortex AI integration.
    • Troubleshoot and optimize document processing.
Examination sources