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Google Cloud Generative AI Leader: 6 Practice Exams 2026
Rating: 4.4 out of 5(3 ratings)
322 students

Google Cloud Generative AI Leader: 6 Practice Exams 2026

Six 50-question exams on gen AI basics, Gemini, Agent Platform, agents and AI strategy, with every option explained
Created byBrian Shand
Last updated 10/2026
English

What you'll learn

  • Practice all four exam domains: gen AI fundamentals (~30%), Google Cloud's gen AI offerings (~35%), improving model output (~20%), business strategy (~15%)
  • Understand Google Cloud's gen AI products: Gemini, Gemini Enterprise Agent Platform, Model Garden, Agent Studio, Gemini Enterprise and Workspace
  • Learn effective techniques for improving gen AI outputs including RAG, prompt engineering, fine-tuning, grounding, and evaluation methods
  • Develop strategic knowledge for implementing successful enterprise gen AI solutions with responsible AI, governance, and ROI measurement practices
  • Work through 300 questions in 6 full-length tests, with an explanation for every option

Included in This Course

300 questions
  • Practice Test 150 questions
  • Practice Test 250 questions
  • Practice Test 350 questions
  • Practice Test 450 questions
  • Practice Test 550 questions
  • Practice Test 650 questions

Description

This course contains the use of artificial intelligence.

Practice exams for the Google Cloud Generative AI Leader certification

This course has 6 practice tests with 300 questions covering the four Generative AI Leader exam domains. Every answer option has its own explanation of why it's right or wrong.

What's in the course

  • 300 questions across 6 tests: 50 per test, with no repeats between tests

  • All four exam domains: fundamentals, Google Cloud offerings, techniques and business strategy

  • An explanation for every option: why each answer is correct or incorrect, not only the right one

  • Exam-style format: a mix of multiple-choice and multi-select questions

Exam domains covered

  1. Fundamentals of gen AI (~30%): LLMs, foundation models, multimodal AI, the machine learning lifecycle, data types and quality, common use cases

  2. Google Cloud's gen AI offerings (~35%): Gemini models (Pro, Flash, Flash-Lite, Nano), Gemini Enterprise Agent Platform, Model Garden, Agent Studio, Agent Search, agents, Gemini for Google Workspace, Gemini Code Assist, security and governance features

  3. Techniques to improve gen AI model output (~20%): prompt engineering, grounding, RAG, fine-tuning, sampling parameters such as temperature, context windows, evaluation, reducing hallucinations

  4. Business strategies for a successful gen AI solution (~15%): responsible AI, governance, measuring value and ROI, change management, choosing use cases, compliance

Who this course is for

Business and technical professionals preparing for the Google Cloud Generative AI Leader exam, including executives, product managers, consultants, solution architects and anyone involved in gen AI strategy.

No coding experience required. The exam and this course cover business-level knowledge of Google Cloud's gen AI products and how to adopt gen AI responsibly.

How to use this course

  1. Take Practice Test 1 to find your starting point

  2. Read every explanation, including for questions you got right

  3. Study your weaker areas with Google Cloud's documentation

  4. Take the remaining tests and track how your scores change by domain

  5. Book the exam once your scores are steady and you're comfortable with every domain

About the exam (from Google Cloud's exam page, checked October 2026)

  • Format: 50-60 multiple-choice questions, 90 minutes

  • Registration fee: $99 (plus tax where applicable)

  • Languages: English, Japanese, Spanish, Portuguese

  • Validity: 3 years

  • Prerequisites: none; the exam is for any job role, technical or not

This course is an independent practice resource and isn't affiliated with or endorsed by Google.

Who this course is for:

  • Business leaders, executives, and decision-makers who need to understand how generative AI can transform their organizations and drive business value
  • Product managers, project managers, and technical professionals seeking to validate their knowledge of Google Cloud's generative AI ecosystem and best practices
  • Consultants, solution architects, and IT professionals who advise clients on gen AI strategy, implementation, and Google Cloud platform selection
  • Anyone preparing for the Google Cloud Certified Generative AI Leader exam who wants comprehensive practice with realistic, high-quality questions