Practice Test GE-UAB: Gemini Enterprise – Use Agents to Build Agents
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Release Date: 10/2026
Job Role: AI Engineer
Language: English
The GE-UAB practice test contains 200 questions and covers the following objectives:
Prepare the agentic coding environment in Antigravity - 44 questions
The Antigravity coding agent
- Antigravity surfaces and migration from Gemini CLI
- Artifacts and artifact review
- Permissions and terminal execution
MCP servers for the coding agent
- Configure MCP servers
- Control MCP tool access and add knowledge sources
Extend coding agents with skills and rules - 40 questions
Agent skills
- Skill structure and locations
- Skill activation and descriptions
- Migrate workflows to skills
Rules and choosing the right customization
- Rule files and scope
- Rule activation modes
- Choose a rule, a skill or an MCP server
Build, evaluate, deploy and publish ADK agents with Agents CLI - 60 questions
Equip the coding agent with Agents CLI
- Agents CLI setup and its skills
- Scaffold and prototype an agent
Architect agents and integrate protocols
- ADK agent architecture
- MCP and A2A in ADK agents
- A2UI agent-generated interfaces
Evaluate, deploy and integrate with Gemini Enterprise
- Evaluate agents with Agents CLI
- Deploy to Agent Runtime, Cloud Run or GKE
- Publish the agent to Gemini Enterprise
Build with the Managed Agents API on Gemini Enterprise Agent Platform - 56 questions
Managed Agents API concepts
- What the Managed Agents API is
- Managed agents versus ADK agents
Build and run managed agents
- Create and manage agents
- Interact with agents
- Sandbox environment and security
- Evaluate managed agents
System Requirements
A practice test simulates the actual test and aims to provide you with optimal preparation for what to expect on the real exam. A MeasureUp practice test includes around 150 questions covering the exam objective domains. There are two possible test-taking modes to prepare students for their certification: Certification Mode and Practice Mode.
- Practice Mode allows users to highly customize their testing environment. They may select how many questions to include, the maximum time to finish, randomize question order, and choose how and which questions are shown.
- Certification Mode simulates the actual testing environment. It is timed and does not permit users to view answers or explanations until after the test.
How does it work?
Check out our video to see exactly how MeasureUp's practice tests work.
Why should you trust MeasureUp over free learning material?
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Will studying with a MeasureUp practice test improve my chances of passing at the first attempt?
Yes. MeasureUp's practice tests are designed to help you save time and pass on your first attempt. The test is fully customizable, allowing you to focus on your weak areas. Since the style, objectives, question types, and difficulty match the official exam, passing the practice test twice consecutively in Certification Mode means you're exam ready.
What can I expect to earn if I complete the Google Cloud Use Agents to Build Agents learning path?
On completing the Google Cloud Use Agents to Build Agents learning path and obtaining a job as an AI Software Engineer, you can expect to earn a salary in the United States of approximately $103,071.
Source: Payscale
Google Cloud GE-UAB Use Agents to Build Agents PRACTICE TEST
Why should you use our Google Cloud GE-UAB Use Agents to Build Agents practice test?
Our GE-UAB practice test is written by subject matter experts and contains 200 questions across four areas: Prepare the agentic coding environment in Antigravity, Extend coding agents with skills and rules, Build, evaluate, deploy and publish ADK agents with Agents CLI, and Build with the Managed Agents API on Gemini Enterprise Agent Platform. Every question is backed by official Google documentation, so you can check your understanding of the learning path before you attempt the challenge lab.
Why should you trust the GE-UAB Practice Test from MeasureUp over free learning material?
Free material on agentic development usually follows a single tutorial, while the GE-UAB practice test makes you reason about the decisions behind each task: choosing between a rule, a skill, and an MCP server, controlling which MCP tools the coding agent can use, combining MCP, A2A, and A2UI in an ADK agent, picking the right runtime among Agent Runtime, Cloud Run, and GKE, and deciding when a managed agent is a better fit than an ADK agent. Every question includes a detailed explanation of why each option is correct or incorrect, with references to the Antigravity, ADK, Agents CLI, and Google Cloud documentation.
How to use the Google Cloud GE-UAB Use Agents to Build Agents Practice Test?
You can use the GE-UAB practice test in two different modes: certification and practice mode. The former allows you to assess your knowledge and discover your weak areas, while the latter helps you focus on those areas, ensuring you spend your time wisely.
We recommend starting with certification mode. After completing the test, review the generated report to identify areas that need improvement. Then, switch to practice mode to work on those areas. Once you feel confident, retake the test in certification mode. If you pass twice consecutively with a score of 90% or higher, you're ready for the challenge lab!
Google Cloud GE-UAB Use Agents to Build Agents LEARNING PATH
What is the Google Cloud GE-UAB Use Agents to Build Agents learning path?
Use Agents to Build Agents is a Google Skills for Partners learning path that shows how to use coding agents to build, evaluate, and deploy AI agents. It includes two courses, Accelerate Agent Development with Antigravity and Agents CLI and Build with the Managed Agents API on Gemini Enterprise Agent Platform, followed by the Accelerate Development with Antigravity challenge lab. The learning path is part of the Gemini Enterprise Agent Development Certified Partner Specialist credential; the MeasureUp GE-UAB practice test covers this learning path only, not the other learning paths of the credential.
Is the Google Cloud GE-UAB Use Agents to Build Agents learning path hard?
The learning path is aimed at developers, so it assumes you are comfortable with an IDE, a terminal, and agent development concepts. It covers several fast-moving tools at once: the Antigravity coding agent and its MCP servers, skills, and rules, Agents CLI for scaffolding, evaluating, and deploying ADK agents, agent protocols such as MCP, A2A, and A2UI, and the Managed Agents API, which is still in Pre-GA. Experience with Python, the ADK, and Google Cloud deployment targets such as Cloud Run makes the material considerably easier.
How can I complete the Google Cloud GE-UAB Use Agents to Build Agents learning path?
Work through the two courses on Google Skills for Partners and repeat the key tasks in your own environment: configure an MCP server in Antigravity, write a custom skill and a rule, and prototype an agent with Agents CLI. Then use the MeasureUp GE-UAB practice test to check your understanding before the challenge lab, paying particular attention to Prepare the agentic coding environment in Antigravity, Extend coding agents with skills and rules, and Build, evaluate, deploy and publish ADK agents with Agents CLI, which cover the tasks the challenge lab asks you to complete.
How is the Google Cloud GE-UAB Use Agents to Build Agents learning path assessed?
The learning path is not assessed with a written exam. You complete it by passing the Accelerate Development with Antigravity challenge lab, a hands-on lab in which you configure an MCP server, author custom agent skills and rules, and prototype an agent with Agents CLI. Passing the challenge lab earns a skill badge that counts toward the Gemini Enterprise Agent Development Certified Partner Specialist credential. The MeasureUp GE-UAB practice test contains 200 questions.
Is the Google Cloud GE-UAB Use Agents to Build Agents learning path worth it?
Completing the learning path shows customers and employers that you can use coding agents to shorten the agent development life cycle: you can set up Antigravity with the MCP servers, skills, and rules your team needs, take an ADK agent from prototype to evaluation, deployment, and publication in Gemini Enterprise with Agents CLI, and build managed agents on Gemini Enterprise Agent Platform. It is especially relevant for Google Cloud partners who build custom agents for their customers, and it counts toward the Gemini Enterprise Agent Development Certified Partner Specialist credential.