Professional Agentic Architect free practice test, exam questions and mock exam: Google Cloud

Professional Agentic Architect is the Google Cloud professional certification for people who design and manage autonomous agentic workflows with reliability, performance, cost, security and scalability in mind. It is a hybrid certification: first a proctored multiple choice exam on concepts, system design choices and architectural standards and, if you pass it, hands-on labs in Google Skills that validate your execution and coding ability. You must pass both parts. The beta closed in September 2026 and the GA exam launches in mid-November 2026.

We follow the beta outline of the official exam guide, which has five sections: building agents using low-code tools (13%), using coding agents for application development (17%), developing custom agents (33%), evaluating and deploying agentic workflows (22%), and securing and governing agentic workflows (15%). We will review the bank when Google publishes the GA exam guide.

Building: state-based workflows, system instructions and prompt templates in Gemini Enterprise Workflow Builder (formerly Agent Designer) and CX Agent Studio; connecting enterprise data with Agent Search and processing multimodal data; configuring coding agents such as Antigravity with MCP servers, skills, hooks, rules and subagents, in secure sandboxes (GKE, Cloud Workstations) and with Agents CLI. Custom agents weigh the most: choosing the model (LLM or SLM, self-hosted or SaaS, open source or proprietary), ADK, sessions and Memory Bank, RAG pipelines with Vector Search, Agent Retrieval and RAG Engine, Agent Registry, Google Cloud MCP Servers, and orchestration with MCP and A2A (parallel, sequential and graph workflows).

Operations and security: test sets and golden datasets, continuous evaluation with ADK evaluation tooling, the Agent Platform GenAI evaluation service and custom autoraters; choosing between Agent Runtime, Cloud Run and GKE; troubleshooting drift, tool invocation latency, reasoning loops and hallucinations with Cloud Logging and Cloud Trace. Plus OAuth 2.0 with Auth Manager, principal access boundary policies with Agent Identity, Agent Gateway, Model Armor, Sensitive Data Protection and human-in-the-loop.

Google recommends 3+ years of hands-on experience with cloud solutions, including 1+ years building agentic solutions on Google Cloud. With that background, six to eight weeks are usually enough: read the official exam guide, follow the Google Skills learning path, and build an ADK agent that uses RAG, an MCP server and a second agent over A2A, then evaluate it and deploy it to Agent Runtime. Note that CertifyDeck prepares the multiple choice exam; it does not cover the Google Skills hands-on labs.

Start free to measure your level and practice by section. If you need the general Google Cloud architecture base, [Professional Cloud Architect](/en/certifications/professional-cloud-architect) covers it; for the business view of generative AI, see [Generative AI Leader](/en/certifications/generative-ai-leader). The beta background and GA date are in [our article](/en/articles/google-professional-agentic-architect-beta-november-2026).