Exam objective

GAIL

Core layers of the gen AI stack

This objective sits in Fundamentals of gen AI, which carries 30% of the Generative AI Leader exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.

Objective title verbatim from the official objectives. Google Cloud exam page

A worked example

Shown solved, with the whole explanation open: this is what every question here carries.

Fundamentals of gen AI

A business wants the layer that provides servers, GPUs, and TPUs for gen AI. Which layer is this?

ApplicationThe application layer is user facing, not the hardware base.
InfrastructureCorrect · your answerCorrect.
AgentAn agent pursues goals; it is not the compute hardware.
ModelThe model layer is the trained algorithm, not the hardware.

Correct.

Concept

The infrastructure layer provides the core computing resources, including physical hardware, needed to run gen AI.

Why B

Servers, GPUs, and TPUs are the infrastructure layer of the gen AI stack.

Source

Infrastructure: This layer provides the core computing resources needed for generative AI.

Google Cloud, Generative AI Leader study guide, checked August 2026
#genai-layers

Now you: practice questions

No account needed. The explanation opens when you answer.

Sample question 1 of 3

Fundamentals of gen AI

In the gen AI stack, which layer offers APIs, data management, and model deployment tools?

Sample question 2 of 3

Fundamentals of gen AI

How does Google define the model layer?

Sample question 3 of 3

Fundamentals of gen AI

A product team wants the layer users directly interact with to use AI capabilities. Which layer is that?

That’s 3 of the full Generative AI Leader bank.

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Read the sources

These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.

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