Practice Test GE-BDA: Gemini Enterprise – Build and Deploy Agents with ADK

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The Build and Deploy Agents with Agent Development Kit (ADK) practice test trains you in building multi-agent systems with ADK, equipping them with tools, running code safely with Agent Sandbox, managing conversation context and memory, and deploying agents to Agent Runtime on Gemini Enterprise Agent Platform. Why should I use the Build and Deploy Agents with ADK Practice Test to prepare for the Google Cloud learning path? The Build and Deploy Agents with Agent Development Kit (ADK) learning path is a perfect fit for Google Cloud partner developers and engineers who build production AI agents for their customers. Completing the learning path will allow you to demonstrate that you can design LLM agents, coordinators, and workflow agents, add Google, third-party, and custom function tools, execute code in Agent Sandbox, use session state, Memory Bank, skills, and context engineering techniques, and test, evaluate, and deploy an ADK agent that a web app can use. The practice test reinforces the concepts behind each course and lab; it does not replace hands-on practice.
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Questions: 200
Release Date: 10/2026
Job Role: AI Software Engineer
Language: English

The GE-BDA practice test contains 200 questions and covers the following objectives:

ADK agent model, runners and multi-agent systems - 36 questions

ADK agent model

  • LlmAgent: name, model, instruction, description and output
  • Runner, events and the event loop

Multi-agent systems

  • Coordinator agents, sub-agents and agents as tools
  • Workflow agents and graph workflows

Tools for ADK agents: Google, third-party and custom - 24 questions

Equipping agents with tools

  • Custom function tools
  • Google tools and built-in tool limits
  • Third-party APIs: OpenAPI and MCP tools

Code Execution with Agent Sandbox on Agent Platform - 28 questions

Code Execution and Agent Sandbox

  • Agent Sandbox and where Code Execution fits
  • Running code in a sandbox: SDK and ADK executors
  • Sandbox state, lifecycle and isolation

Conversation context: state, memory, skills and context engineering - 67 questions

Sessions and state (short-term memory)

  • Sessions, events and SessionService
  • Session state: prefixes, updates and templating

Long-term memory

  • MemoryService and memory tools
  • Memory Bank on Agent Platform

Skills and context engineering

  • Agent skills in ADK
  • Context engineering: scoping, artifacts, compaction and caching

Develop, test, deploy and use ADK agents - 45 questions

Coding agents and ADK dev interfaces

  • Coding agents with ADK skills and Agents CLI
  • ADK dev interfaces: adk web, adk run and API server

Testing and evaluation

  • ADK evaluation and testing suite

Deploy to Agent Runtime and use the agent

  • Deploy to Agent Runtime
  • Use the deployed agent from a web app


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?

MeasureUp Free learning material
  • A greater number of questions, so more opportunities to learn.
  • Detailed explanations with online references for correct and incorrect answers.
  • A total of fourteen different question types.
  • Customize the test based on your needs. Certification & Practice Mode.
  • A small bank of questions to introduce the exam.
  • Brief or no explanations of both correct and incorrect answer options.
  • Limited question types compared to the actual exam.
  • Just one type of assessment, without customization or a countdown timer.

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 Build and Deploy Agents with Agent Development Kit (ADK) learning path?

On completing the Google Cloud Build and Deploy Agents with Agent Development Kit (ADK) 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

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Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) PRACTICE TEST

Why should you use our Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) practice test?

Our GE-BDA practice test is written by subject matter experts and contains 200 questions across five areas: ADK agent model, runners and multi-agent systems; Tools for ADK agents; Code Execution with Agent Sandbox on Agent Platform; Conversation context: state, memory, skills and context engineering; and Develop, test, deploy and use ADK agents. 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-BDA Practice Test from MeasureUp over free learning material?

Free material on ADK usually walks through a single sample agent, while the GE-BDA practice test makes you reason about the design decisions behind it: choosing between sub-agents, agents as tools, and workflow agents, picking the right tool type for a Google service, a third-party API, or your own function, deciding what belongs in session state and what belongs in long-term memory, and choosing a code executor for Agent Sandbox. Every question includes a detailed explanation of why each option is correct or incorrect, with references to the ADK and Gemini Enterprise Agent Platform documentation.

How to use the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) Practice Test?

You can use the GE-BDA 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-BDA Build and Deploy Agents with Agent Development Kit (ADK) LEARNING PATH

What is the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) learning path?

Build and Deploy Agents with Agent Development Kit (ADK) is a Google Skills for Partners learning path that shows how to build, extend, and deploy agents with ADK. It includes three courses, Build Agents with the Agent Development Kit, Build Enterprise Agents with Code Execution on Gemini Enterprise Agent Platform, and Craft ADK Agents with Persistent Memories, followed by the Deploy an Agent with ADK challenge lab. The learning path is part of the Gemini Enterprise Agent Development Certified Partner Specialist credential; the MeasureUp GE-BDA practice test covers this learning path only, not the other learning paths of the credential.

Is the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) learning path hard?

The learning path is aimed at developers and goes well beyond a first agent. You need to understand how the ADK runner and event loop work, how to combine agents into multi-agent systems, and how session state, Memory Bank, and context engineering techniques such as compaction and caching keep long conversations accurate and efficient. ADK is evolving quickly, and some features such as skills are still experimental. Experience with Python and with calling APIs from code makes the material considerably easier.

How can I complete the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) learning path?

Work through the three courses on Google Skills for Partners and build your own agents with ADK as you go, testing them locally with adk web before you deploy them. Then use the MeasureUp GE-BDA practice test to check your understanding before the challenge lab, paying particular attention to ADK agent model, runners and multi-agent systems, Tools for ADK agents, and Develop, test, deploy and use ADK agents, which cover the tasks the challenge lab asks you to complete.

How is the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) learning path assessed?

The learning path is not assessed with a written exam. You complete it by passing the Deploy an Agent with ADK challenge lab, a hands-on lab in which you build an agent with ADK, deploy it to Agent Runtime, and use it from a web app. Passing the challenge lab earns a skill badge that counts toward the Gemini Enterprise Agent Development Certified Partner Specialist credential. The MeasureUp GE-BDA practice test contains 200 questions.

Is the Google Cloud GE-BDA Build and Deploy Agents with Agent Development Kit (ADK) learning path worth it?

Completing the learning path shows customers and employers that you can take an ADK agent from design to production: you can structure multi-agent systems, connect them to the tools a business needs, let them run code safely in Agent Sandbox, give them short-term and long-term memory, and deploy them to Agent Runtime 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.