A career growth machine
A career growth machine
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Yes, for students who prefer visual learning, we have a complete Snowflake Training Course. This course covers the syllabus from scratch with practical examples. We recommend watching the training videos first to grasp the fundamentals, and then using these practice tests to validate your knowledge.
Yes. If you are finding gaps in your understanding of the concepts, we recommend our Snowflake Study Guide eBook. It is a concise study guide that simplifies the complex topics covered in these questions, making it the perfect companion for quick revision before retaking the tests.
Instructor is a seasoned technology educator and cloud architect with a passion for simplifying complex data concepts. Specializing in Snowflake, AI, and Big Data ecosystems, he focuses on practical, real-world scenarios rather than rote memorization.
At QuickTechie, we believe in authentic learning:
"My goal is to be your career growth machine, helping you master the tools that drive the modern data industry." — QuickTechie
Yes. The exam tests your ability to bring your own models (BYOM) into Snowflake using Snowpark Container Services and the Snowflake Model Registry. You will need to understand how to manage Docker images and specification files. These advanced topics can be difficult to learn from documentation alone, which is why our certification guide includes dedicated modules on setting up Snowpark environments efficiently.
Governance accounts for 22% of the exam. You will be tested on Role-Based Access Control (RBAC) for models, using the CORTEX_MODELS_ALLOWLIST parameter, and implementing Cortex Guard to filter harmful content. Our training material breaks down these security concepts into simple scenarios, helping you understand exactly how to secure your Gen AI workload to Snowflake standards.
Document AI is a specific domain (12%) of the exam that focuses on extracting structured data from unstructured documents using Snowflake's built-in ML capabilities. You will need to know how to prepare documents, train models, and troubleshoot extraction queries. Our practice exams feature real-world Document AI scenarios to ensure you aren't caught off guard by these specific questions.
Yes. If you are finding gaps in your understanding of the concepts, we recommend our Snowflake Gen AI Study Guide eBook. It is a concise resource that simplifies complex topics like Vector Search and RAG pipelines, making it the perfect companion for quick revision alongside our video course before taking the actual exam.
The SnowPro Specialty: Gen AI Certification verifies your specialized knowledge in building Generative AI applications using the Snowflake Data Cloud. It validates your ability to leverage Snowflake Cortex AI, Large Language Models (LLMs), and Retrieval Augmented Generation (RAG) architectures. To fully master these concepts, we recommend enrolling in our comprehensive Gen AI certification course which covers every exam objective in detail.
To register for this exam, you must hold an active SnowPro Core Certification or a SnowPro Associate: Platform Certification. Additionally, candidates are expected to have SQL proficiency and experience with Python. If you need to refresh your base knowledge or learn the specific Python skills required for Snowflake Gen AI, our step-by-step video tutorials provide the perfect bridge to get you exam-ready.
Preparation requires a mix of theoretical understanding and hands-on practice. We recommend following this three-step path: 1) Master the Snowflake Cortex functions (COMPLETE, SUMMARIZE, etc.), 2) Build a RAG application using Vector Search, and 3) Take scenario-based practice tests. Our Ultimate Gen AI Masterclass guides you through all three steps with real-world projects that mimic the exam environment.
Yes, the exam is considered difficult because it is scenario-based rather than memory-based. You will face questions asking you to troubleshoot Python code, optimize Gen AI costs, and secure model access. Many candidates fail on their first attempt due to a lack of practical experience. Our practice question bank is designed to expose you to these tough scenarios before you sit for the actual test.
The exam is divided into four weighted domains: Snowflake for Gen AI Overview (26%), Gen AI & LLM Functions (40%), Governance (22%), and Document AI (12%). Since "Gen AI & LLM Functions" makes up the largest portion, our course focuses heavily on practical labs for Cortex functions to ensure you maximize your score in this critical section.
The standard price for SnowPro Specialty certifications is typically $375 USD. Given the high cost of the exam, it is crucial to ensure you are fully prepared before registering. We offer affordable exam preparation bundles that are a fraction of the retake cost, ensuring you pass on your first try.
Yes. The exam tests your ability to bring your own models (BYOM) into Snowflake using Snowpark Container Services and the Snowflake Model Registry. You will need to understand how to manage Docker images and specification files. These advanced topics can be difficult to learn from documentation alone, which is why our certification guide includes dedicated modules on setting up Snowpark environments efficiently.
Like other Snowflake Specialty certifications, the Gen AI credential is typically valid for two years. To maintain your active status, you will need to recertify or pass a higher-level exam. Keeping your skills sharp with our monthly updated tutorials ensures you stay ahead of the curve as Snowflake releases new AI features.
Governance accounts for 22% of the exam. You will be tested on Role-Based Access Control (RBAC) for models, using the CORTEX_MODELS_ALLOWLIST parameter, and implementing Cortex Guard to filter harmful content. Our training material breaks down these security concepts into simple scenarios, helping you understand exactly how to secure your Gen AI workload to Snowflake standards.
Document AI is a specific domain (12%) of the exam that focuses on extracting structured data from unstructured documents using Snowflake's built-in ML capabilities. You will need to know how to prepare documents, train models, and troubleshoot extraction queries. Our practice exams feature real-world Document AI scenarios to ensure you aren't caught off guard by these specific questions.
Yes. If you are finding gaps in your understanding of the concepts, we recommend our Snowflake Study Guide eBook. It is a concise study guide that simplifies the complex topics covered in these questions, making it the perfect companion for quick revision before retaking the tests.
