Google Cloud Generative AI Leader Certification Test Exam
Ready for GC Gen AI Leader cert? 4 practice exams to sharpen skills & ensure you pass!
Google Cloud Generative AI Leader Certification Test Exam free download
Ready for GC Gen AI Leader cert? 4 practice exams to sharpen skills & ensure you pass!
Step into the role of a Google Cloud Certified Generative AI Leader, a visionary professional adept at identifying how generative AI (gen AI) can transform and be used within a business. This course features four practice exams (with 45, 45, 30, and 45 questions respectively) meticulously designed to mirror the actual certification content and ensure your success. As a Generative AI Leader, you'll possess business-level knowledge of Google Cloud's gen AI products and services, enabling you to influence innovative and responsible AI adoption within your organization.
Our practice exams are precisely weighted to reflect the official Google Cloud Generative AI Leader exam guide, covering all critical sections:
Fundamentals of Gen AI (~30% of the exam): Explore core gen AI concepts (like large language models, prompt engineering, and diffusion models), the machine learning lifecycle, how to choose appropriate foundation models for business use cases, and the business implications of various data types in gen AI.
Google Cloud's Gen AI Offerings (~35% of the exam): Understand Google's AI-first approach and enterprise-ready AI platform. Familiarize yourself with prebuilt offerings like the Gemini app and Gemini for Google Workspace, and developer tools such as Vertex AI Platform, including Model Garden and Vertex AI Search.
Techniques to Improve Gen AI Model Output (~20% of the exam): Learn to address common foundation model limitations like hallucinations and the knowledge cutoff. Master prompt engineering techniques (zero-shot, few-shot, chain-of-thought) and understand grounding techniques, including retrieval-augmented generation (RAG).
Business Strategies for a Successful Gen AI Solution (~15% of the exam): Grasp the steps to integrate gen AI into an organization, the importance of Google's Secure AI Framework (SAIF), and crucial responsible AI principles including privacy, fairness, and accountability.
Pay special attention to questions marked with an asterisk (*) in exams #1, #2, and #3, as these are styled to reflect questions encountered in the real certification exam. Your expertise as a Generative AI Leader lies in strategic leadership and influence, not deep technical implementation, though a strong conceptual understanding is vital. We recommend aiming for an 80% benchmark on these practice exams. By combining this targeted practice with study of Google's official learning path, you'll be thoroughly prepared to pass your certification and confidently lead impactful gen AI initiatives.
