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- Total Questions: 351
- Updated on: Oct 27, 2026
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The Snowflake certificate is respected precisely because earning it is hard; the GES-C01 exam filters out candidates who prepare casually. ExamPrepAway prepares you seriously: 351 practice questions for the Snowflake SnowPro® Specialty: Gen AI Certification, compiled and cross-reviewed by experts with years of experience in this exam's content.
Snowflake GES-C01 Exam Overview:
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Specialty: Gen AI Certification Exam (GES-C01) |
| Exam Number: | GES-C01 |
| Exam Price: | $175 USD |
| Available Languages: | English |
| Exam Duration: | 115 minutes |
| Related Certifications: | SnowPro Core Certification |
| Exam Format: | Multiple select, Multiple choice |
| Real Exam Qty: | Approximately 65 |
| Passing Score: | 750/1000 |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Snowflake Documentation (Cortex & AI) Snowflake University Training |
| Exam Registration: | Snowflake Certification Portal Pearson VUE Snowflake Exams |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam via Pearson VUE and authorized test centers |
| Pre Condition: | No strict prerequisite required; recommended: SnowPro Core Certification or equivalent Snowflake data platform experience. |
| Official Syllabus URL: | https://www.snowflake.com/training-and-certification/ |
Snowflake GES-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation & Responsible AI | - Bias, fairness, and explainability considerations - Evaluation metrics for LLM outputs |
| Topic 2: Prompt Engineering | - Prompt design techniques - Optimization of prompts for LLM outputs |
| Topic 3: Generative AI Fundamentals | - Model capabilities and limitations - Core concepts of generative AI and LLMs |
| Topic 4: Data Governance & Security | - Responsible use of AI in enterprise environments - Data privacy and access controls |
| Topic 5: Embeddings, Vector Search & RAG | - Embeddings fundamentals - Vector search in Snowflake ecosystem - Retrieval-Augmented Generation (RAG) workflows |
| Topic 6: Use Cases & Solution Design | - Enterprise AI application patterns in Snowflake - End-to-end GenAI solution architecture |
| Topic 7: Snowflake AI & Cortex | - AI functions and services in Snowflake - Snowflake Cortex capabilities |
GES-C01 Exam FAQs: No-Nonsense Answers
The GES-C01 exam — officially the SnowPro® Specialty: Gen AI Certification Exam — is Snowflake's certification exam for professionals who work with its technologies, and passing it awards the SnowPro Specialty: Gen AI certification at the Specialty level. Vendor-issued credentials like this one remain among the clearest signals of skill a resume can carry. It also connects naturally to SnowPro Core Certification as a next step.
Yes — ExamPrepAway offers a free PDF demo of the GES-C01 practice questions so you can inspect the question quality and verified answers before paying anything. Once you purchase, 365 days of free updates are included, and if the product expires, the update service renews at a 50% discount from your member zone.
Passing the GES-C01 exam requires 750/1000, and the official registration fee is $175 USD. That fee buys a single attempt — a retake is charged at full price again. The smart sequence is to rehearse first: cycle through 351 practice questions at ExamPrepAway under timed conditions until your scores clear the passing mark with margin, then book.
The Snowflake SnowPro® Specialty: Gen AI Certification blueprint comprises 7 domains, led by Embeddings, Vector Search & RAG, Generative AI Fundamentals, and Prompt Engineering. The complete weighted syllabus is in the section above — accurate preparation starts with knowing exactly what the exam weights most.
Snowflake recommends the following training for the Snowflake SnowPro® Specialty: Gen AI Certification:
Courses build understanding; carefully compiled practice builds accuracy under pressure. Combine either resource above with 351 practice questions from ExamPrepAway and your preparation covers both.
No strict prerequisite required; recommended: SnowPro Core Certification or equivalent Snowflake data platform experience.
Vendor criteria evolve, so before you schedule anything, verify the latest requirements on the official Snowflake exam page.
Registration for the Snowflake SnowPro® Specialty: Gen AI Certification runs through these official channels:
Worth noting when you book: the GES-C01 exam is delivered Online proctored exam via Pearson VUE and authorized test centers.
Delivery first: download immediately after payment, with an email copy arriving within one minute. If 2 hours pass with no email, check spam and contact our support team. You can install the software on as many computers as you need — no device limit.
If you take the GES-C01 exam within 60 days of purchase and do not pass, the ExamPrepAway money back guarantee applies: file within 2 days of the exam with a scanned enrollment slip and the official score report (PDF), and the claim is processed within 7 days. The candidate name must match the payer name; the policy excludes exams taken within 3 days of purchase, purchases never used in an actual exam attempt, free materials, and expired orders. If you would rather keep preparing, exchange the product for two free exam packages of equal value and keep the update service on your original purchase.
Expect Approximately 65 questions inside 115 minutes on the GES-C01 exam. The clock is the quiet examiner: knowing the content is not enough if pacing fails you. Rehearse with the ExamPrepAway Windows software or online engine in timed mode — the smooth, stable interface means nothing technical distracts you while you build your rhythm.
Snowflake SnowPro® Specialty: Gen AI Certification Sample Questions:

Which of the following is a 'direct cause' of this error related to missing schema-level privileges, assuming the model build name is unique and the warehouse is active and accessible?
- A.

- B.

- C.

- D.

- E.

Correct Answer: C 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
A development team is preparing to deploy a new Retrieval-Augmented Generation (RAG) application written in Python. They intend to use Snowflake AI Observability to capture detailed logs and traces for debugging and performance analysis. Which of the following configurations are essential prerequisites for enabling this logging capability effectively?
- A. Option B
- B. Option E
- C. Option D
- D. Option C
- E. Option A
Correct Answer: A,B,D,E 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
An analytics team is preparing documents for a new Document AI model build to extract information from internal policy reviews. They have a variety of documents that they intend to upload to an internal stage for processing. The document list includes: (1 ) a 70 MB PDF with 100 pages, (2) a 45 MB DOCX with 150 pages, (3) a 30 MB PNG image, (4) a 60 MB TIFF image, and (5) a 20 MB HTML file. All documents are in English. Which of these documents would 'fail' to meet the direct input requirements for Document AI processing?
- A. The 20 MB HTML file.
- B. The 30 MB PNG image.
- C. The 45 MB DOCX with 150 pages.
- D. The 60 MB TIFF image.
- E. The 70 MB PDF with 100 pages.
Correct Answer: C,D,E 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
A financial institution uses Snowflake Cortex LLM functions to process customer feedback. They initially used SNOWF LAKE .CORTEX.SENTIMENT for general sentiment analysis. Now, they need to extract specific sentiment categories (e.g., 'service_quality', 'product_pricing') and the sentiment for each, expecting the output in a structured JSON format for automated downstream processing. Which AI_COMPLETE configuration best addresses their new requirement while considering cost-efficiency and output reliability?
- A.

- B.

- C.

- D.

- E.

Correct Answer: C 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
A machine learning engineer is building a product recommendation system in Snowflake that uses item embeddings and customer query embeddings for similarity matching. They plan to use the VECTOR_L1_DISTANCE function to find the closest products to a user's query. Which statement accurately describes the cost and data type considerations for this approach?
- A. The
- B. Executing the

- C. Both

- D. Storing the item and query embeddings in
- E. The maximum dimension for a
Correct Answer: C 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
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