Google Cloud Agentic Architect: 6 Practice Exams 2026

Prepare for the Google Cloud Certified Professional Agentic Architect exam with 6 full-length practice exams and 390 original, scenario-based questions, each with a detailed explanation for every answer option.

AI agents are moving from demos to production, and Google Cloud's Professional Agentic Architect certification validates that you can design, build, evaluate, deploy, and secure agentic workflows that hold up in the real world. The exam goes well beyond prompt writing. It expects you to choose between low-code and code-first approaches, connect agents to enterprise data, coordinate multiple agents, measure quality with evaluation, run agents reliably at scale, and govern what they are allowed to do.

This course gives you a realistic, structured way to test that judgment before exam day. Every question was written from scratch using the official exam guide and Google Cloud documentation. Nothing is copied from other practice tests or from the real exam.

Please note: the certification includes a multiple-choice exam and hands-on lab components. These practice exams cover the multiple-choice exam only. They do not simulate the hands-on labs, so plan separate hands-on practice in a Google Cloud environment for that part.

What You Get

• 6 full-length practice exams with 65 questions each (390 questions total)

• 264 multiple-choice questions with 5 answer options and one correct answer

• 126 multiple-select questions (about one third) with 6 answer options, each stating exactly how many answers to choose

• An explanation for every single answer option, both correct and incorrect, written specifically for that option in that scenario

• A teaching paragraph for every question covering the key concept, why the correct answer wins, a common trap, and a link to the most relevant Google Cloud documentation page

• Coverage weighted to the official exam guide, so you spend your time where the exam does

• Randomized question order in each exam, so you cannot rely on position or pattern

• Lifetime access, mobile access, and the ability to retake each exam as often as you like

Complete Domain Coverage

Questions are distributed across all five sections of the official exam guide, in proportion to their published weights.

Section 1: Building agents using low-code tools (~13%, 48 questions)

Configuring agentic workflows and behavior in tools such as Gemini Enterprise Agent Designer, Workflow Builder, and CX Agent Studio, writing effective agent instructions, and connecting enterprise data sources to Gemini Enterprise.

Section 2: Using coding agents for application development (~17%, 66 questions)

Using coding agents effectively for tasks like refactoring, migration, debugging, and testing, and customizing them for enterprise workflows with rules, skills, workflows, hooks, subagents, MCP servers, Agents CLI, and Claude Code on Google Cloud.

Section 3: Developing custom agents (~33%, 132 questions)

Designing and building agentic workflows in code with ADK, defining tools and callbacks, integrating enterprise knowledge through RAG Engine, Vector Search, and Agent Search, managing sessions and Memory Bank, and orchestrating multi-agent systems with sequential, parallel, loop, and graph patterns, MCP, and the A2A protocol.

Section 4: Evaluating and deploying agentic workflows (~22%, 84 questions)

Building evaluation datasets, choosing metrics and autoraters, running offline and online evaluation, and deploying and scaling agents on Agent Runtime, Cloud Run, and GKE with Cloud Trace, Cloud Logging, Cloud Monitoring, safe rollouts, and cost and latency optimization.

Section 5: Securing and governing agentic workflows (~15%, 60 questions)

Configuring Agent Identity, Agent Registry, Agent Gateway, IAM policies, Model Armor, VPC Service Controls, CMEK, data residency, and audit logging, and implementing secure execution with sandboxes, least privilege, and human-in-the-loop confirmation.

Why These Practice Exams Work

They test architecture decisions, not trivia. Most questions place you inside a realistic situation, such as a returns agent issuing refunds worth thousands of dollars, a RAG pipeline that ranks the wrong manual first, a production agent whose latency tripled overnight, or a coding agent with shell access in a regulated codebase. You must choose what a strong agentic architect would do. That is the style of thinking the exam rewards.

Every wrong answer teaches you something. Distractors are plausible mistakes real teams make: trusting the model to enforce document permissions, storing sessions in memory in production, sharing one service account across every agent, relying on prompt instructions instead of enforced policy, or shipping a prompt change without re-running evaluation. Each option has its own explanation, so you learn to recognize the trap instead of memorizing a letter.

Explanations go beyond "correct" and "incorrect." Each question ends with a short teaching paragraph that states the core concept, explains why the correct answer or answers win, names the common trap, and links to a specific Google Cloud documentation page. Reviewing your results becomes a focused study session rather than a scoreboard.

Multiple-select questions tell you how many to choose. Every multi-select question states the number of correct answers, for example "(Select THREE.)", so you practice precise reasoning instead of guessing how many boxes to tick.

Coverage reflects the current Google Cloud agent stack. Questions are grounded in the products and practices named in the exam guide, from ADK and Agent Runtime to Agent Gateway and Model Armor, so your preparation matches what you will see on exam day.

How to Use This Course

1. Take Practice Exam 1 under timed conditions to establish your baseline.

2. Review every explanation, including the ones for questions you answered correctly. Pay special attention to the "Common trap" in each teaching paragraph.

3. Follow the documentation links for any section where you scored lowest, and try the related features in a Google Cloud project if you can.

4. Work through Practice Exams 2 to 6, tracking your score by section to see where you are improving.

5. Retake any exam until you are consistently scoring well. Focus on understanding the reasoning rather than remembering answers, because the real exam will present new scenarios.

Who Should Enroll

• Cloud architects and solution architects preparing for the Google Cloud Certified Professional Agentic Architect exam

• AI and ML engineers who build agents with ADK, RAG, and Gemini models

• Application developers who use coding agents and want to customize them for enterprise teams

• Platform, DevOps, and SRE engineers responsible for deploying, monitoring, and scaling agents

• Security and governance professionals who need to control agent identity, tool access, and data protection

• Technical leads who want a structured way to assess their readiness to design production agentic systems on Google Cloud

What This Course Is Not

This is a practice exam course, not a video lecture series and not a hands-on lab. It assumes you have reviewed the official exam guide and have some experience with Google Cloud. If you are new to agents, the explanations and documentation links will still teach you a great deal, but you will get the most value by pairing these exams with Google Cloud's official learning resources and hands-on practice for the lab portion of the certification.

Important Disclaimer

This course is independent and is not affiliated with, endorsed by, or sponsored by Google LLC or Google Cloud. Google Cloud and related product names are trademarks of Google LLC. All questions are original and written to reflect the published exam objectives. They are not actual exam questions, and product names and features reflect the documentation available at the time of writing.

Start practicing today and walk into the Professional Agentic Architect exam with confidence!