SnowPro Specialty: Gen AI Practice Questions

SnowPro Specialty: Gen AI (GES-C02) exam preparationAligned with the official GES-C02 Study Guide (last updated April 30, 2026)

SnowPro Specialty: Gen AI practice questions in English: 180 questions with explanations. The mock exam has 55 questions and 85 minutes.

SnowPro Specialty: Gen AI free question 7 / 10 · Domain 3: Snowflake Gen AI Governance

A compliance lead plans to send AI_REDACT output to an outside vendor with no further checks, on the grounds that the function is fully managed. What does the AI_REDACT reference say about this plan?

  1. It fits, as a fully managed function guarantees complete redaction
  2. It fits once CORTEX_USER is granted, since that enables checks
  3. It needs a second AI_REDACT pass, which makes the output certain
  4. It needs a review step, as detection is done on a best-effort basis
Show the answer and explanation

Answer: D

Why this is correct
Under the "AI_REDACT" introduction, the reference says AI_REDACT performs detection and redaction in a best-effort manner using AI models. It then says to always review the output to ensure compliance with your organization's data privacy policies, and to contact Snowflake Support if AI_REDACT fails to detect or redact any PII in your data. Sending the output out with no review skips that step.

Why the other options are wrong
"It fits, as a fully managed function guarantees complete redaction" … Fully managed describes how the function is run, not how complete its results are. The page asks for the output to be reviewed.
"It fits once CORTEX_USER is granted, since that enables checks" … The database role lets a role call the function. It does not add any checking of the redacted text.
"It needs a second AI_REDACT pass, which makes the output certain" … Running the same model again is not what the page recommends. It asks for review against the organization's privacy policies.

Where review fits
Place a review or sampling step between redaction and any sharing. The limitations section repeats the same caution: the models may not find all personally identifiable information.

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