GCP · objective · 25% of the exam
Google Cloud's gen AI offerings
Exam objectives are the official skill domains Generative AI Leader tests. Below are the official GCP docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Google Cloud — Agent Search on Gemini Enterprise Agent Platform | Google Cloud
who need direct control of a highly performant vector database to power niche use cases like recommendations and ad serving can use Vector Search
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Google Cloud — Customer Experience Agent Studio | Google Cloud
provides a next-generation platform powered by Gemini to rapidly build, evaluate, and deploy highly personalized conversational agents in days versus weeks
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Google Cloud — Google AI Studio vs. Gemini Enterprise Agent Platform vs. Gemini Enterprise app | Google Cloud
Gemini’s contextual and personalized AI guidance understands your Google Cloud resources to help you craft new designs, deploy workloads, manage applications, troubleshoot issues, and optimize
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Google Cloud — AI Commerce Search | Google Cloud
With its advanced intent classification, Conversational Commerce agent intelligently switches between traditional product search and conversational interactions
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Google Cloud — Gemini Enterprise Agent Platform (formerly Vertex AI) | Google Cloud
Text, chat, and code generation Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response)
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Google Cloud — Physical AI | Google Cloud
Deploy applications on local infrastructure, managed from the cloud with Google Distributed Cloud , reducing cloud-to-edge round-trip latency from 200ms to sub-10ms
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Google Cloud — Vision AI: Image and visual AI tools | Google Cloud
Each feature you apply to an image is a billable unit—Cloud Vision API lets you use 1,000 units of its features for free every month.