The Final Hurdle

You have learned the material. Now you need to pass the test. This certification is unique because it is non-technical (no coding questions) but assumes a deep understanding of business logic applied to technology.

In this lesson, we break down the logistics.

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1. Exam Logistics

• Exam Name: Google Cloud Certified - Generative AI Leader (or similar designation depending on current catalog).
• Format: Multiple Choice (no labs).
• Length: 60 Minutes (usually).
• Questions: ~30-40 questions.
• Cost: Often free or low-cost compared to Professional Architect exams, as it is a "Skill Badge" level credential in some contexts, though Professional versions exist. Check the official Webassessor page for current pricing.
• Proctoring: Online proctored (Webcam on) or Test Center.

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2. Question Types

You will face three main types of questions:

Type A: The Definition Check (20%)

Simple vocabulary tests.

• Q: What is the temperature setting used for?
• A: Controlling randomness.

Type B: The "Best Tool" Scenario (40%)

You are given a business problem and must pick the right Vertex AI tool.

• Q: Startup needs a chatbot. No developers. Has PDF data. Which tool?
• A: Vertex AI Agent Builder (Search).

Type C: The Governance Scenario (40%)

Ethical and legal dilemmas.

• Q: Model is biased against a group. What should you do first?
• A: Audit the training data (not "increase temperature").

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3. Study Strategy

1. Don't memorize code: You won't be asked to write Python.
2. Memorize the "Why": Why use RAG instead of Fine-Tuning? (Freshness). Why use TPUs? (Training speed).
3. Governance is Key: Google emphasizes Responsible AI. Expect 3-5 questions on the 7 Principles.

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4. Summary

The exam is fast-paced but logical. If you understand the Business Value of each tool (not just how it works, but why you buy it), you will pass.

In the next lesson, we will run through a Full Mock Exam with 10 hard questions.

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Knowledge Check