A failed GES-C02 attempt means the full registration fee all over again — plus another long wait. Candidates who rehearse with the Snowflake SnowPro Specialty: Gen AI Certification questions from ExamCost rarely need that second invoice.
Snowflake GES-C02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Snowflake for Gen AI Overview | - Snowflake Gen AI principles and features
|
| Topic 2: RAG & Vector Search with Cortex Search | - Vector types, semantic search, RAG pipelines
|
| Topic 3: Document Processing | - AI_PARSE_DOCUMENT, AI_EXTRACT pipelines
|
| Topic 4: Model Deployment & Management | - Snowpark Container Services & Model Registry
|
| Topic 5: Cortex AI Functions & Application | - Built-in LLM functions
|
| Topic 6: Gen AI Governance & Security | - Privileges, roles, access control
|
Got Questions About the Snowflake SnowPro Specialty: Gen AI Certification? Start Here
Yes, the official recommendations are:
Courses are worth the time if you have it — and if you don't, they're not the only route. Busy candidates often go straight to the GES-C02 practice questions from ExamCost, which compress the exam's knowledge points into focused, time-saving practice.
Budget $225 USD for registration, and aim for 750 (on a scale of 0–1000) to pass. Since the fee resets to full price on every retake, the cheapest strategy is preparation: work the 87 practice questions from ExamCost until the pass mark becomes your floor, not your ceiling.
The Snowflake SnowPro Specialty: Gen AI Certification leads to the SnowPro Specialty: Gen AI certification at the Specialty level. Employers notice it in interviews — it's shorthand for proven ability, and it often decides who reaches the final round. It also pairs with related credentials like SnowPro Core (COF-C03), SnowPro Specialty: Snowpark (SPS-C01), SnowPro Specialty: Native Apps (NAS-C02) if you plan to keep climbing.
There is. The free PDF demo shows exactly what you're buying — real questions, real answer quality. After purchase, 365 days of free updates keep the material current, and renewing an expired update period costs 50% of the price through your member zone.
The Snowflake SnowPro Specialty: Gen AI Certification blueprint spans 6 domains, including Gen AI Governance & Security, Snowflake for Gen AI Overview, Cortex AI Functions & Application. Those percentages are the vendor telling you where the points are — spend your limited study hours accordingly. The complete outline above breaks down every subtopic.
Use the vendor's official registration channels listed here:
Also worth noting when you book: the GES-C02 exam is delivered Online proctored (OnVUE) or in-person at Pearson VUE testing centers, so factor that into your choice of test date and location.
No mandatory prerequisite certification; SnowPro Core is recommended but not required Because eligibility rules change over time, treat the vendor as the final authority — check the official GES-C02 requirements before paying any fees.
The exam packs 55 questions into 85 minutes. Busy professionals, take note: the time pressure is real but trainable. Set a pace target per question, practice skipping without guilt, and run timed mock exams in the ExamCost engine until finishing on time becomes a habit rather than a hope.
Delivery takes about a minute — payment confirms, files unlock for instant download, an email copy follows, and you can install on unlimited computers; our responsive support team steps in if 2 hours pass with nothing received. If the exam itself goes badly, the 100% Money Back Guarantee applies: take the corresponding GES-C02 exam within 60 days of purchase, and if you fail, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam — refunds are processed within 7 days. The conditions: no exams within 3 days of purchase, the candidate name must match the payer's, and free or expired products are excluded. Alternatively, exchange for two equal-value exam products at no cost while keeping your updates.
Snowflake SnowPro Specialty: Gen AI Certification Sample Questions:
The following error is received while attempting to extract details from a document with Snowflake Document AI:
`Request failed for external function DOCUMENT_EXTRACT_FEATURES$V1 with remote service error:
422`
How should this error be resolved?
- A. Grant the CREATE SNOWFLAKE.ML.DOCUMENT_INTELLIGENCE privilege to the role running the extraction query.
- B. Recreate the internal stage specifying the SNOWFLAKE_SSE encryption type.
- C. Publish the model build.
- D. Reduce the number of documents in the query or extend the query expiration time.
Correct Answer: C 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
Which commands can be used to display the Snowflake Cortex LLM models that are available? (Choose two)
- A. CALL SNOWFLAKE.MODELS.CORTEX_BASE_MODELS_REFRESH();
- B. SHOW MODELS IN SNOWFLAKE.MODELS;
- C. LS @SNOWFLAKE.CORTEX.LLM;
- D. SHOW VERSIONS LIKE 'CORTEX' IN MODEL LLM;
- E. SHOW MODELS;
Correct Answer: B,E 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
A Gen AI Specialist is developing a Gen AI application in Snowflake and must debug a particular record that produced an inaccurate response. The Specialist needs to see, step by step, how the input prompt was processed, what context was retrieved, which tools were called, and how the LLM responded.
Which Snowflake AI observability feature should be used?
- A. Metrics
- B. Tracing
- C. Logging
- D. Monitoring
Correct Answer: B 🗳️
Which key considerations apply when using the Snowflake Model Registry to manage models? (Choose two)
- A. Once a model is registered, it cannot be updated or deleted.
- B. Models registered in the Model Registry can only be used with Snowpark for Python.
- C. Models can be deployed and invoked directly using SQL commands in Snowflake.
- D. The Model Registry supports versioning so that multiple versions of a model can be tracked.
- E. Models need to be exported to external storage before they are registered.
Correct Answer: C,D 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
A Gen AI Specialist is building a pipeline in Snowflake to gather data that will be used to summarize customer chat messages.
The following table, CHAT_MESSAGES, was created:
| CONVERSATION_ID | MESSAGE_TEXT |
| :--- | :--- |
| 1 | Hi, I need help with my order. |
| 2 | It's not been delivered yet. |
| 2 | How can I reset my password? |
| 3 | I received the wrong item. |
| 3 | Can I exchange it? |
The Specialist wants to use the Snowflake Cortex COMPLETE function with the llama3-8b model to generate a summary of each conversation. The prompt should begin with: "Summarize this chat:" followed by the full text of all messages in that chat conversation.
Which query will achieve this?
```sql
- A. SELECT
conversation_id,
SNOWFLAKE.CORTEX.COMPLETE('llama3-8b', 'Summarize this chat:' || message_text) AS summary_text FROM CHAT_MESSAGES; - B. SELECT
conversation_id,
SNOWFLAKE.CORTEX.COMPLETE('llama3-8b', 'Summarize this chat:' || ARRAY_AGG (message_text)) AS summary_text FROM CHAT_MESSAGES; - C. SELECT
conversation_id,
SNOWFLAKE.CORTEX.COMPLETE('llama3-8b', 'Summarize this chat:' || LISTAGG(message_text)) AS summary_text FROM CHAT_MESSAGES GROUP BY conversation_id; - D. SELECT
conversation_id,
SNOWFLAKE.CORTEX.COMPLETE('llama3-8b', message_text) AS summary_text
FROM CHAT_MESSAGES
GROUP BY conversation_id;
```
Correct Answer: C 🗳️
Explanation: Only visible for ExamCost members. You can sign-up / login (it's free).
Viewing page 1 out of 18 pages.
Viewing questions 1-5 out of 87 questions.
