Exam Map536 words

Generative AI Leader exam map

Generative AI Leader

Generative AI Leader exam map

The exam at a glance

50-60
90 min
4
67

This map is built from Google's Generative AI Leader exam guide (retrieved 2026-10-06) and from this hive's own contents. Google publishes no exam code, no guide version and no passing score for this certification; "GCP-GAIL" is this hive's internal label, not Google's.

The exam, as Google publishes it

  • Format: 50-60 multiple choice questions
  • Time: 90 minutes
  • Validity: 3 years
  • Languages: English, Japanese, Spanish, Portuguese
  • Passing score: not published by Google

Sections and weights

Google attaches an approximate percentage to each section and to nothing below it. The counts are this hive's.

SectionTitleWeight (Google, approx.)TopicsObjectivesBank questionsFlashcardsSeats per mock
Unit 1Fundamentals of gen AI~30%72313811518
Unit 2Google Cloud’s gen AI offerings~35%6181619021
Unit 3Techniques to improve gen AI model output~20%415927512
Unit 4Business strategies for a successful gen AI solution~15%31169559

How this hive is organised

  • A lecture deck for every topic — 20 decks, one per topic of this hive's curriculum (each mapped to the exam guide's considerations), each teaching every objective under it. Every factual claim on a slide is pinned to an exact excerpt from an official Google Cloud page.
  • 460 practice questions, each citing the Google Cloud documentation page its answer comes from, with the supporting quote recorded.
  • 7 blueprint-weighted mock exams of 60 questions, dealt in proportion to the section weights (18/21/12/9 seats per section). No question appears in more than one mock.
  • 335 flashcards, one collection per objective, each card traceable to Google's documentation.
  • A study guide per topic (below): the topic's lecture in reading form.

Names in the exam guide that Google has since changed

The exam guide still uses these names, so expect them on the exam. Google's current documentation uses the second column, and the decks teach both.

The exam guide saysGoogle's documentation nowTaught in
Cloud FunctionsCloud Run functionsUnit 2 Topic 6
Customer Engagement SuiteGemini Enterprise for Customer ExperienceUnit 2 Topic 4
Conversational Agentsbuilt in CX Agent StudioUnit 2 Topic 4
Conversational InsightsCX InsightsUnit 2 Topic 4
Agent Platform Feature Storethe feature-monitoring page still says Vertex AI Feature StoreUnit 3 Topic 2
GemsGoogle Workspace Help says skills replace Gems in 2027Unit 2 Topic 3
Imagenstill documented; its endpoints are listed as deprecated in favour of Gemini image modelsUnit 1 Topic 7

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