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SnowPro Specialty Gen AI GES-C02 Exam Questions

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Question #1 (Topic: Demo Questions)

A table claims.raw_extract stores the output of AI_EXTRACT, called without scores, in a VARIANT column ex. One field in the responseFormat was named policy_number. An analyst is writing a view that needs that value as a string column.

Which expression returns it?

A.

ex:policy_number::STRING

B.

ex:scoring:scores:policy_number::STRING

C.

ex:response[0]:policy_number::STRING

D.

ex:response:policy_number::STRING


Correct Answer: D
Question #2 (Topic: Demo Questions)

A hotel group exposes its booking data to Cortex Analyst through a semantic view. The net_room_revenue metric is defined and calculates correctly, but revenue managers ask about "rooms income" and "lodging takings", and Analyst often fails to connect those phrases to the metric.

Which change to the semantic view most directly addresses this?

A.

Add the managers' phrases as synonyms on that metric

B.

Redefine net_room_revenue as a fact so that it is evaluated at row level instead of aggregated

C.

Add a filter to the bookings logical table that keeps only completed and paid stays

D.

Add the managers' phrases as sample_values on the booking date time dimension


Correct Answer: A
Question #3 (Topic: Demo Questions)

A consumer electronics retailer must pick one of two Cortex-hosted models for drafting replies to product questions within the week. The reviewers are merchandising analysts who do not write code. They want to see both models answer the same sample questions side by side, try different temperature settings with Cortex Guard switched on, and then hand engineers the chosen configuration as SQL. No labeled set of approved replies exists yet.

What should the team use?

A.

Set up AI Observability evaluation runs for both models and score their correctness against ground-truth replies

B.

Compare both models side by side in Cortex Playground, then export the SQL

C.

Have analysts edit a shared Snowflake Notebook that loops both models over the questions with AI_COMPLETE

D.

Ask engineers to build a Streamlit in Snowflake app showing both replies


Correct Answer: B
Question #4 (Topic: Demo Questions)

A rail operator's track inspectors complete paper forms that combine printed labels, tick boxes and handwritten remarks, and the forms are scanned to PDF. The operations lead assumes staff must first retype each form into a digital template before any Snowflake document function can use it.

A.

Tick boxes are read from scans, but handwriting is not

B.

Scanned files are accepted once the stage uses server-side encryption, which enables OCR on them

C.

AI_EXTRACT reads checkboxes and handwriting directly from scanned files

D.

Handwritten remarks are read only after AI_TRANSLATE has converted them into typed text first

Correct Answer: C
Question #5 (Topic: Demo Questions)

A freight forwarder has an existing Cortex Agent, SHIPMENT_HELPER, owned by the AI_ENG role. Its tools are a Cortex Search service over customs notes and a semantic view over shipment tables. Dispatchers, whose default role is DISPATCH, must be able to ask the agent questions.

DISPATCH already holds the SNOWFLAKE.CORTEX_AGENT_USER database role, USAGE on the dispatchers' default warehouse and on the relevant databases and schemas, and everything the semantic view tool requires.

Which grants does DISPATCH still need?

(Choose two.)

A.

USAGE on the SHIPMENT_HELPER agent itself

B.

MODIFY on the SHIPMENT_HELPER agent

C.

USAGE on the warehouse the AI_ENG team uses for its own work

D.

USAGE on the agent's Cortex Search service

Correct Answer: A, D
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