[NEW] GCP Professional Agentic Architect - 2 Mock Exams

This course contains the use of artificial intelligence.

Master the Google Cloud Professional Agentic Architect Certification with Realistic Practice Exams

Get ready for the new Google Cloud Professional Agentic Architect certification. This practice exam course is built for developers and architects who design autonomous, AI-driven agentic workflows on Google Cloud. Every question maps to the official exam guide.

What you'll get:

You get two full-length mock exams, 160 questions in total. They match the format and the difficulty of the real test. More than 150 flowcharts and diagrams run alongside them, showing agent architectures, orchestration patterns, and design trade-offs as clear visuals.

Every option gets an explanation, not only the correct one. You learn why the right answer works and why each distractor fails. Most questions also point you to the Google Cloud page behind them, so you can read the source in one click.

Every question maps to the official exam guide, and the two mock exams cover all five sections with the correct weighting. Nothing here is filler or off-topic.

You can take each exam in two ways. Practice mode gives you instant feedback after every question. Exam mode runs a timer and hides the answers until you finish, so you sit the test the way you will sit the real one.

Exam coverage breakdown:

• Building agents using low-code tools: State-based workflows with pages, transition routes, and event handlers. System instructions and prompt templates in Gemini Enterprise Agent Designer and CX Agent Studio. Connecting enterprise data through Agent Search. Ingesting unstructured multimodal data.

• Using coding agents for application development: Configuring coding agents with MCP servers, custom skills, and tools. Running agents in secure sandboxes on GKE, Cloud Workstations, and Antigravity. Refactoring code and patching vulnerabilities. Building skills, plugins, hooks, rules, and subagents with Antigravity and Agents CLI.

• Developing custom agents: Choosing the right model for cost, security, and architecture. Building agents with the Agent Development Kit. Sessions and memory with Memory Bank. RAG pipelines, embedding models, similarity scoring, and reranking. Agent permissions with Agent Identity. Orchestration with MCP and A2A. Parallel, sequential, and graph workflows.

• Evaluating and deploying agentic workflows: Building test sets with golden data and edge cases. Continuous evaluation pipelines. ADK evalsets, the Gen AI evaluation service, and custom autoraters. Choosing between Agent Runtime, Cloud Run, and GKE. Troubleshooting drift, reasoning loops, and tool latency. Monitoring for performance, reliability, and cost.

• Securing and governing agentic workflows: OAuth 2.0 for agent-to-tool calls. Principal access boundary policies with Agent Identity. Agent Gateway for traffic monitoring. Governance with Agent Registry and Model Armor. Guardrails and human-in-the-loop design. Identity propagation.

Technologies covered include: Agent Development Kit (ADK), Agent Runtime, Agent Gateway, Agent Identity, Agent Registry, Agent Retrieval and Vector Search, Agent Search, Agents CLI, Antigravity, Auth Manager, A2A, Model Context Protocol (MCP) servers, Gemini Enterprise, Gemini LLMs, Model Armor, Model Garden, RAG Engine, Skill Registry, Sensitive Data Protection, Cloud Run, GKE, BigQuery, Cloud SQL, Cloud Storage, Firestore, Memorystore for Redis, Cloud Logging, and Cloud Trace.

Why this course?

Agentic systems are moving fast, and Google Cloud built a certification for the people who design them. This exam tests real judgment: which model to pick, how to orchestrate handoffs, where to deploy, and how to keep agents safe. These practice exams find your weak spots early. You walk into the test center knowing what you know.

Please note: This course prepares you for the multiple-choice part of the exam only. The Professional Agentic Architect certification also requires hands-on labs in Google Skills. Plan separate lab time for that part.

About your instructor

My name is Vladimir. I have taught over 200000 students on Udemy. I hold 10 cloud and AI certifications, including the Google Cloud Professional Cloud Architect, Google Cloud Generative AI Leader, AWS Certified AI Practitioner, and AWS Certified Generative AI Developer Professional. I build every question in this course from the official Google Cloud exam guide and verify each one against current Google Cloud documentation.

Ready to become a Google Cloud Professional Agentic Architect?

Start practicing today!

This course is not affiliated with, endorsed by, or sponsored by Google Cloud Platform (GCP) or Google LLC. Google Cloud and all Google product names are trademarks of Google LLC. All logos and trademarks are used for educational and identification purposes only.