Google Professional-Agentic-Architect - Study Material - Google Cloud Certified - Professional Agentic Architect

About the Google Cloud Certified — Professional Agentic Architect Exam

The Professional Agentic Architect is Google Cloud's professional-level certification for the agentic era. It validates that an architect can design, build, evaluate, deploy, secure, and govern agentic AI solutions on Google Cloud — from low-code agent builders to fully custom agents built with the Agent Development Kit (ADK), deployed on Agent Runtime, and connected through Agent Gateway with Model Armor protection. It is a hands-on, scenario-driven credential for architects who ship agent systems, not just chatbots.

The certification has two required parts: a proctored multiple-choice exam delivered through Pearson (in its beta form, about 80 questions over 3 hours, priced at $120 during beta against a $200 standard fee), followed by hands-on labs in Google Skills that prove you can actually build the workflows. Google does not publish a passing score — the standard is set from exam statistics. The certification is valid for 1 year. There are no formal prerequisites, but Google recommends 3+ years of cloud experience, including 1+ year building agentic solutions on Google Cloud.

Professional Agentic Architect Exam Domains

Building agents using low-code tools (~13%). Configuring agentic workflows and behavior with Google's low-code tooling — conversational design, event handling, and guardrails — and connecting enterprise data to Gemini Enterprise with the right connectors, access controls, and multimodal ingestion.

Using coding agents for application development (~17%). Working productively and safely with coding agents: configuring tool access through MCP with least-privilege scoping, running agents in secure sandboxes, refactoring and upgrading real codebases, and customizing agents with rules, skills, subagents, and extensions.

Developing custom agents (~33%). The core of the exam. Selecting models (LLM vs SLM, hosted vs self-hosted), building with ADK, designing retrieval pipelines (chunking, embeddings, reranking, Vector Search), identity and registry governance, MCP servers, and composing multi-agent systems with A2A, workflow patterns, sessions, and Memory Bank.

Evaluating and deploying agentic workflows (~22%). Building golden datasets and evaluation pipelines, measuring trajectories and tool use, detecting drift, then deploying and scaling on the right runtime — Agent Runtime, GKE, or Cloud Run — with tracing, canary rollouts, and cost control.

Securing and governing agentic workflows (~15%). Agent identity and Principal Access Boundaries, Agent Gateway governance and monitoring, Model Armor screening against prompt injection and sensitive data, human-in-the-loop approvals for irreversible actions, and propagating end-user identity so agents never become confused deputies.

Why Practice with Study4Pass?

This certification is brand new, and serious practice material for it barely exists. The Study4Pass practice test contains 120 original scenario-based questions written against Google's official exam guide and weighted like the real exam — a third of them on Developing Custom Agents, where the exam is won or lost. Every question has a detailed explanation covering why the right design wins and why the near-miss options fail. Start with the free practice test on this page, train domain by domain in the web-based test engine or the premium PDF, and use Ask AI whenever a concept needs a deeper explanation. Candidates who prepare early for a new flagship credential stand out — this is that window.