Practice Exams | Google Cloud Generative AI Leader

About this course

Prepare for the Google Cloud Generative AI Leader certification exam with realistic, scenario-based practice questions covering Generative AI Fundamentals, Gemini, Vertex AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), Responsible AI, and AI Business Strategy.

This practice exam course is designed to help business professionals, IT specialists, cloud practitioners, AI enthusiasts, consultants, and certification candidates evaluate their knowledge and prepare confidently for the Google Cloud Certified: Generative AI Leader certification.

The practice exams focus on real-world business and technology scenarios, helping you strengthen your understanding of generative AI concepts, Google Cloud AI products, model optimization techniques, and strategies for successful enterprise AI adoption.

What You'll Practice

The course covers the four major domains of the official Google Cloud Generative AI Leader certification exam.1. Fundamentals of Generative AI (30%)Artificial intelligence, machine learning, and generative AI fundamentals

Foundation models, large language models (LLMs), and multimodal AISupervised, unsupervised, and reinforcement learning concepts

Generative AI use cases for text, images, video, code, and data analysis

Google foundation models, including Gemini, Gemma, Imagen, and VeoStructured and unstructured data, data quality, and accessibilityAI infrastructure, models, platforms, agents, and applications

Selecting appropriate models for different business requirements2. Google Cloud's Generative AI Offerings (35%)Google Cloud's AI-first approach and enterprise AI ecosystem

Gemini, Gemini Enterprise, and Gemini for Google WorkspaceNotebookLM and AI-powered productivity solutions

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