Snowflake SnowPro Specialty: Gen AI (GES-C02) · 18% practice allocation

Snowflake GES-C02: Snowflake for Gen AI Overview Practice Questions

5 free sample questions from the Snowflake for Gen AI Overview domain, with answers and explanations. The full GES-C02 bank has 241 questions across 4 domains. Questions are scenario-based and written from the official Snowflake exam guide.

1.

Which two of the following are explicitly named as ways developers or business users can interact with Cortex? (select two)

  • A. Resource monitors
  • B. REST APIs✓ Correct
  • C. AI Studio✓ Correct
  • D. Row access policies
Explanation

AI Studio and REST APIs are both named entry points for interacting with Cortex, alongside SQL and Snowpark Python. Resource monitors are a cost-governance control for credit consumption, not an interaction/entry-point mechanism. Row access policies are a data-governance control restricting visible rows, also not a way to interact with Cortex itself.

2.

An operations team wants a single assistant that can look up a policy document, pull a matching account's order history from structured tables, and summarize both together in one response. Which capability is purpose-built for this multi-tool orchestration?

  • A. A single AI_COMPLETE call with a longer prompt
  • B. Cortex Search alone
  • C. Cortex Analyst alone
  • D. Cortex Agents✓ Correct
Explanation

Cortex Agents orchestrate multiple tools — such as Search and Analyst together — for multi-step tasks, which is exactly this scenario. Cortex Search alone can retrieve the policy document but not the structured order history. Cortex Analyst alone can compute from tables but not retrieve document text. A single longer AI_COMPLETE prompt can't itself query separate structured and unstructured sources.

3.

A question asks which Cortex building block takes 'a natural-language goal' as its typical input. Which one is that?

  • A. Cortex Agents✓ Correct
  • B. A single AI function such as AI_CLASSIFY
  • C. EMBED_TEXT_1024
  • D. VECTOR_COSINE_SIMILARITY
Explanation

Cortex Agents take a natural-language goal and orchestrate the tool calls needed to satisfy it. A single AI function like AI_CLASSIFY typically takes a column of text or a prompt for a one-shot transformation, not an open-ended goal. EMBED_TEXT_1024 takes text to embed, a narrow input for building a vector, not a goal. VECTOR_COSINE_SIMILARITY takes two vectors to compare, an even narrower mathematical input.

4.

A team needs to classify inbound emails into one of three categories — a simple, high-volume, repetitive task. No multi-step reasoning or tool orchestration is involved. Which building block fits best?

  • A. Cortex Analyst, since email counts are structured data
  • B. Cortex Agents, to allow room for future growth
  • C. A single AI function call such as AI_CLASSIFY✓ Correct
  • D. Cortex Search, to retrieve similar past emails first
Explanation

A one-shot classification task is exactly what a single AI function call handles. Reaching for Cortex Agents for a task with no multi-step orchestration adds unnecessary complexity. Cortex Analyst answers questions computed from structured tables, not text classification. Cortex Search retrieves passages; it doesn't classify.

5.

Which of the following is the current name Snowflake uses for the product formerly called 'Snowflake Intelligence'?

  • A. Snowflake CoCo
  • B. Cortex AI Functions
  • C. Cortex Guard
  • D. Snowflake CoWork✓ Correct
Explanation

Snowflake Intelligence was renamed to Snowflake CoWork. CoCo is the renamed product formerly called Cortex Code, a different product. Cortex AI Functions is the renamed Cortex AISQL, also unrelated to Snowflake Intelligence's rename. Cortex Guard is a response-safety filtering feature, not a renamed conversational agent.

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