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🌐 Google Cloud Digital Leader (Exam-Prep)

Free exam-prep for Google Cloud Digital Leader with a signed certificate. Learn the modules, pass the 10-question exam, EN/FR/AR, no account.

Last updated: June 2026

An independent, free exam-preparation course that works through the publicly published Cloud Digital Leader exam guide — digital transformation with Google Cloud, AI and machine learning, infrastructure and application modernization, and trust, security, scaling and operations — with visual lessons, original self-check questions and a final exam. It is awareness and preparation only; it is not the official Google Cloud course or exam and is not affiliated with or endorsed by Google. The course is organized into 8 modules, ending with a final exam (pass mark 70%). It is independent, free exam-preparation training — not an official or accredited review course.

What you'll learn

  • Digital Transformation & the Cloud Value Proposition
  • Fundamental Cloud Concepts & Google Cloud Basics
  • Data Transformation: Databases, Data Warehouses (BigQuery) & Data Lakes
  • Innovating with AI/ML: Vertex AI, Pre-trained APIs & Generative AI
  • Modernizing Compute: GCE, GKE, Cloud Run & App Engine
  • Application Modernization, APIs (Apigee) & Hybrid/Multicloud
  • Trust & Security: IAM, Encryption, Shared Responsibility & Compliance
  • Scaling, Operations, Billing & Support: FinOps and Cloud Monitoring

Learning objectives

  • Understand that this is independent Cloud Digital Leader exam-prep over the public exam guide, not the official Google course or exam
  • Name the four exam domains and their weightings: Digital transformation with Google Cloud (~10%), AI and machine learning fundamentals (~30%), Infrastructure and application modernization (~30%), Trust, security, scaling and operations (~30%)
  • Explain cloud computing, the total cost of ownership, CapEx versus OpEx, and how organizations build a business case for migration
  • Describe Google Cloud AI/ML building blocks: pre-trained APIs, Vertex AI, Gemini, generative AI, BigQuery ML, and responsible AI
  • Distinguish compute options — Compute Engine, Google Kubernetes Engine, Cloud Run, App Engine and Cloud Functions — and storage and database choices
  • Compare migration approaches (lift-and-shift, move-and-improve, rebuild) and modernization with containers, microservices, APIs and serverless
  • Apply Google Cloud's security model: shared responsibility, IAM, the resource hierarchy, encryption, the BeyondCorp zero-trust approach and compliance
  • Use operations and cost tools: Cloud Monitoring and Logging, the Google Cloud Adoption Framework, billing, budgets, committed-use discounts and support tiers
  • Sit a 10-question exam-style final (80% to pass) built from original questions spanning all four domains