Directory / Snowflake

SnowPro Specialty: Gen AI

Generative AI on Snowflake, including Cortex AI functions, document processing and a large governance component.

What it signals

Practical assessment: Scenario-based multiple choice (2 of 4) Practical assessment
Scenario-based multiple choice. Proctored multiple-choice/multiple-select.
Identity assurance: Proctored with identity verification (4 of 4) Identity assurance
Proctored with identity verification. Pearson VUE; online proctoring or onsite test centres
Depth: Professional (3 of 4) Depth
Professional. Professional level.
Experience expected: About 1 year (2 of 4) Experience expected
About 1 year. 1+ year recommended.
Portability: Mostly vendor-specific (1 of 4) Portability
Mostly vendor-specific. Almost entirely Snowflake Cortex knowledge.
Verifiability: Public badge or registry (4 of 4) Verifiability
Public badge or registry. Public credential URL on achieve.snowflake.com.

For hiring managers

  • Earlier version GES-C01 reportedly required SnowPro Core; the current official page states no prerequisites. Nearly 30% governance (roles, model allow-lists, guardrails, cost views) makes it the most governance-heavy GenAI exam in this group, but it is deeply Snowflake-specific. Old URLs for the C01 page now return 404.

Verifying it

Digital credential with public URL on achieve.snowflake.com.

What it covers

Published exam outline

  • Snowflake for Gen AI Overview 18%
  • Snowflake Gen AI Functions 38%
  • Snowflake Gen AI Governance 29%
  • Snowflake Document Processing 15%

By topic

GenAI apps: Core focus (over 35%) (4 of 4) GenAI apps
Core focus (over 35%). Gen AI Functions 38% plus Overview 18% cover LLM functions, retrieval and model choice on Snowflake.
Agents: Touched on (under 10%) (1 of 4) Agents
Touched on (under 10%). Cortex Agents appear only within the overview domain.
Classical ML: Touched on (under 10%) (1 of 4) Classical ML
Touched on (under 10%). Fine-tuning/model registry are mentioned but not a weighted domain.
Operations: Touched on (under 10%) (1 of 4) Operations
Touched on (under 10%). Operational cost/usage monitoring sits within governance.
Data: Some (10 to 20%) (2 of 4) Data
Some (10 to 20%). Document Processing pipelines are 15%.
Responsible AI: Substantial (20 to 35%) (3 of 4) Responsible AI
Substantial (20 to 35%). Gen AI Governance is 29%.

Exam details

Who the provider says it is for. Practitioners who implement Gen AI on Snowflake: Cortex AI functions and LLMs, fine-tuning/open-source models with Snowpark Container Services and Model Registry, document processing pipelines.

Format
Multiple select, multiple choice (unscored items may be included)
Delivery
Pearson VUE; online proctoring or onsite test centres
Code or hands-on work
Not stated officially; third-party guides describe SQL/Python snippets using Cortex AI functions in multiple-choice items. No labs.
Prerequisites
None (official: 'No Prerequisites')
Recommended experience
1+ years of Gen AI experience with Snowflake in an enterprise environment; Python proficiency helpful; data engineering and SQL knowledge assumed
Renewal
Two-year renewal cycle; Snowflake runs a Continuing Education programme (details not reviewed)
Price notes
India registration fee $180

Preparing

Not confirmed

These details were not available from an official source at the time of research.

  • Exact GES-C02 launch date and GES-C01 retirement date (third-party only)
  • Whether code appears in exam items
  • Renewal options detail (continuing education vs retake)
  • Whether Cortex Agents questions form a measurable share
Sources (5)