| < | All IT Certification |
| Exam Code: | GH-700 |
| Exam Name: | Enhancing Operational Efficiency with Agentic AI (beta) |
| Updated Time: | 2026-11-06 |
| Q&As: | 100 Q&As |
| Free GH-700 Demo DownLoad | |
GH-700: Enhancing Operational Efficiency with Agentic AI is the beta exam for the GitHub Certified: Agentic AI Business Professional certification. It evaluates candidates' ability to use GitHub and GitHub Copilot to improve business productivity through AI-powered automation and agentic workflows. Key exam topics include GitHub platform features, Copilot productivity, workflow automation, MCP server integrations, and human-in-the-loop practices.
To help candidates prepare, Passcert offers updated GH-700 Practice Tests covering essential exam objectives and key concepts. With PDF and Software versions and detailed explanations, these GH-700 exam questions help candidates review important topics, assess their knowledge, and strengthen their preparation for the certification exam.
The GH-700 exam covers four major skill areas. Understanding these objectives can help candidates focus their preparation on the most important concepts and practical skills.
Understand how to use GitHub Projects, issues, pull requests, and collaboration features to organize work and manage projects. Key topics include repository management, organizational policies, governance, security controls, budget guardrails, and responsible AI practices.
Focus on GitHub Copilot capabilities that improve individual and team productivity, including Copilot Chat, AI model selection, prompt engineering, custom instructions, and custom agents. Candidates should also understand session management, agent usage, and ways to optimize AI-assisted tasks.
Learn how to design and configure agentic workflows for business process automation. Important topics include workflow triggers, schedules, permissions, tools, custom skills, MCP server integrations, and workflow execution strategies.
Understand how to supervise AI-driven workflows and maintain appropriate human control. Key topics include reviewing AI-generated outputs, managing approvals, monitoring workflow execution, handling failures, and implementing human intervention and escalation processes.
Preparing for the GH-700 exam requires an understanding of GitHub's productivity platform, GitHub Copilot, and the principles of agentic AI workflow design. Candidates should focus on the following preparation strategies:
Become familiar with GitHub Projects, issues, pull requests, collaboration features, organizational policies, and governance controls. Understanding how these features support business operations is essential.
Review GitHub Copilot Chat, model selection, prompt engineering, custom agents, and session management. Pay particular attention to how different Copilot capabilities can improve productivity and support business tasks.
Understand how to design and configure agentic workflows, including triggers, permissions, schedules, tools, skills, and MCP server integrations. Practice identifying suitable business scenarios for workflow automation.
Understand when human intervention is necessary, how to review AI-generated outputs, and how to manage approvals, escalations, and workflow failures.
Use practice questions to review important concepts, evaluate your knowledge, and identify weak areas. Analyze the explanations carefully and revisit official documentation whenever you encounter unfamiliar topics. Combining practice tests with hands-on experience and Microsoft learning resources can help you prepare more effectively.
Preparing for a new certification can be challenging, especially when the exam covers emerging technologies such as Agentic AI and intelligent workflow automation. Passcert GH-700 Practice Tests provide an additional learning resource to help candidates review the knowledge areas measured by the examination.
Candidates can use the PDF version for convenient review and the Software version for interactive practice. By reviewing answers and explanations, you can identify knowledge gaps, strengthen your understanding, and focus on areas that require additional study.
For a more complete preparation experience, combine Passcert practice materials with the official Microsoft GH-700 Study Guide, GitHub documentation, and practical experience.
GH-700, officially titled Enhancing Operational Efficiency with Agentic AI, is the examination for the GitHub Certified: Agentic AI Business Professional certification. It validates skills in using GitHub and GitHub Copilot to design agentic workflows, automate business processes, and maintain human oversight.
The exam is designed for business professionals such as product managers, program managers, technical project managers, and business analysts. It is also suitable for professionals interested in applying GitHub Copilot and Agentic AI to improve business productivity. Deep software development or coding experience is not required.
The exam covers four major domains: GitHub platform features, GitHub Copilot productivity, agentic workflows and automations, and human-in-the-loop tasks. Important topics include GitHub Projects, Copilot Chat, custom agents, MCP servers, workflow permissions, and human approval processes.
Yes. GH-700 was introduced as a beta examination in October 2026. Candidates should check the official Microsoft certification page for the latest exam availability and status.
According to the official certification information, candidates have 100 minutes to complete the examination. The passing score is 700 on a scale of 100–1,000.
No deep programming or software development experience is required. However, candidates should have some familiarity with generative AI, GitHub capabilities, business processes, and the practical use of AI-powered tools.
Start by reviewing the official GH-700 Study Guide and its four skill domains. Develop familiarity with GitHub Copilot, agentic workflows, automation, and human oversight. You can also use Passcert GH-700 Practice Tests to review key concepts, assess your understanding, and identify areas that need further study.