GH-600 practice test

GH-600 Practice Exam: GitHub Agentic AI Developer Certification Practice Test Questions

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The GitHub agentic AI certification is GitHub Certified: Agentic AI Developer, earned by passing Exam GH-600: Developing in Agentic AI Systems. It has six domains, you get 120 minutes (the other GitHub exams state 100), and you need 700 out of 1000 to pass. GH-600 is no longer a beta exam: beta dropped from the title on July 25, 2026 and the held-back beta scores were released two days later, so you now get your result at the test center like any other proctored sit. The outline is the densest we have measured on any exam: agent appears 71 times in roughly 850 words, one mention every 12 words, with MCP named 6 times. What has not changed is the prep gap: there is no official practice assessment and almost no vetted third-party question bank, so generating questions from the current study guide is the most up-to-date prep that exists.

Exam status re-verified against Microsoft Learn Q&A thread 5958420 (GH-600 live date) on September 7, 2026.

The densest exam outline we have ever measured. Count the words.

We counted terms in the official skills-measured outline on Microsoft Learn, the same method we use across every certification page on this site. For comparison, the previous record holder was GH-300, where Copilot appeared 26 times. GH-600 nearly triples that.

Term in the official outline Count What it tells you
agent71In a ~850-word outline: one mention every 12 words. Nothing else we track comes close
tool14Tool selection, configuration and permissions anchor the biggest domain
workflow13Agents invoked in CI workflows and multi-agent workflow lifecycles
evaluate/evaluation10A full domain on evaluation signals, error analysis and tuning
memory8Short-term versus long-term versus external memory, pruning and reset rules
MCP6Model Context Protocol has its own objective group: servers, registries, allow lists
guardrail4Guardrails and accountability is a scored domain, not a footnote

Read the bullets and a theme emerges: this is not a prompt-writing exam. The outline is about operating agents safely in production: separating planning from execution, preventing action until plans are approved, detecting context drift, resolving conflicts between parallel agents, and scoping least-privilege permissions. If you have run coding agents on real work, much of this will feel familiar; the exam checks whether you can name and structure what you learned the hard way. Generate practice questions from your own agent notes and find the vocabulary gaps first.

Exam time
120 min
Domains
6
"agent" in the outline
71 times
Passing score
700/1000

GH-600 skills measured, straight from the official study guide

Six domains, remarkably flat: the biggest is only 20 to 25 percent. You cannot pass this exam on MCP trivia or orchestration diagrams alone.

Domain What is actually in it Weight
Implement tool use and environment interactionThe biggest domain. Selecting and configuring agent tools and permissions. MCP servers in depth: adding a server as a tool, configuring a GitHub remote MCP server, MCP registries and allow lists. Scoping agents to repositories and branches, invoking agents from CI workflows, enabling autonomous branch and pull request creation, plus error handling, retries, rollbacks and escalation paths.20 to 25%
Prepare agent architecture and SDLC processesWhich steps agents should perform, common agent anti-patterns, defining inputs, outputs and success criteria. Separating planning from execution: structured plans, plan validation, and preventing action until a plan is checked and approved. Autonomy design and inspectable artifacts.15 to 20%
Perform evaluation, error analysis, and tuningExpected outcomes and operational constraints, qualitative and quantitative evaluation signals, automated scanning for signals, failure analysis from logs, plans and traces, and classifying root causes: reasoning errors, tool misuse, or context and environment issues. Then tuning: revising instructions, refining memory and tool access.15 to 20%
Orchestrate multi-agent coordinationOrchestration patterns, agent isolation for parallel execution, and resolving conflicts: overlapping code changes, duplicated effort, contradictory outputs. Observability with logs and audit artifacts, handoff documentation, recovery patterns including rollback and human-in-the-loop, and the agent lifecycle: adding, replacing and retiring agents without breaking workflows.15 to 20%
Manage memory, state, and executionShort-term versus long-term versus external memory, scoping memory to the task, expiration and pruning rules. Durable state artifacts, resuming work without repeating steps, and detecting context drift during long executions. Sharing state across tools while preventing conflicting or stale context.10 to 15%
Implement guardrails and accountabilityClassifying agent actions by operational, security and compliance risk, assigning autonomy levels, identifying which actions need human judgment, blocking policy violations, least-privilege scoping, explicit authorization for irreversible changes, and preserving velocity by cutting approvals that do not reduce risk.10 to 15%

Two facts worth planning around. First, the pass mark is 700 out of 1000 on a scaled score, not a raw 70 percent of questions, so one weak domain can sink a sit that looked comfortable on volume. Second, there is still no official practice assessment for GH-600, unlike GH-900 and GH-200, so the usual final-mock step of exam prep does not exist here yet. You have to build the mock yourself.

The audience profile targets developers, platform and DevOps engineers, and technical leads working with agent-driven development. Neither GitHub nor Microsoft publishes a question count or a pass rate for GH-600 on the study guide, so treat any site quoting exact figures accordingly.

Is the GH-600 exam still in beta?

No. GH-600 left beta on July 25, 2026, when beta dropped from the exam title, and the held-back beta scores were released two days later. Booking it today works like any other proctored Pearson VUE sit: you answer the questions and you get your result at the test center instead of waiting out a scoring window. Two things did not change with the status flip, and they are the two that decide how you prepare.

What changed when GH-600 went live What did not change
Results are immediate at the test center rather than held for a beta scoring periodThere is still no official Microsoft practice assessment for GH-600, so you cannot calibrate against an official mock
The beta discount closed with the beta window, so you now pay the standard proctored seat price for your countryNeither GitHub nor Microsoft publishes a question count or a pass rate, because the format may include interactive components
The outline is settled, so hyper-specific study no longer risks going stale mid-cycleVetted third-party question banks are still thin: the exam is weeks old in general availability, not years
The credential now appears on transcripts without a beta qualifierReal experience running coding agents is still the biggest edge, because the outline is written in operational language

The prep strategy that fits an exam with no official mock has not changed either: work the study guide domain by domain, generate a fresh question set from your notes on each, and drill until the outline's vocabulary (autonomy levels, context drift, escalation paths, MCP allow lists) is something you can define cold rather than nod along to.

GH 300 vs GH 600: which GitHub AI certification should you take?

Take GH-300 if your day job is writing code faster with an assistant, and GH-600 if you are responsible for agents that act on a repository. GH-300 examines Copilot as a tool inside your editor: prompt craft, suggestion quality, admin and policy. GH-600 examines the operational discipline around autonomous agents: tool and MCP configuration, memory and state, evaluation, orchestration and guardrails. They overlap far less than the shared GitHub prefix suggests.

GH-300 (GitHub Copilot) GH-600 (Agentic AI Developer)
SubjectUsing and administering GitHub Copilot as a coding assistantBuilding and operating AI agents inside the software development lifecycle
Exam time100 minutes120 minutes
DomainsCopilot features, plans and admin, prompt crafting, responsible AI, privacySix: agent architecture and SDLC, tool use and MCP, memory and state, evaluation, multi-agent orchestration, guardrails
Official practice assessmentAvailableNone published
MaturityEstablished, plenty of third-party prepGenerally available since July 25, 2026, very little vetted prep
Best forDevelopers and admins standardizing Copilot across a teamPlatform, DevOps and technical leads shipping agent-driven workflows

If you want the two exams weighed side by side in more detail, including which one hiring managers currently ask about, read the full GH-600 vs GH-300 comparison. To drill the Copilot exam itself, use the GitHub Copilot certification practice test.

Do GH-600 exam dumps work?

No, and on this exam they are worse than useless. Using stolen live questions breaks the Microsoft Certification Agreement you accept at booking, and it can void the credential and ban the candidate. The practical problem is just as blunt: GH-600 only reached general availability on July 25, 2026, so anything sold today as a GH-600 dump is recycled GH-300 material, scraped study-guide bullets, or invented. There is no aged pool of leaked items to sell.

The legitimate version of what dump buyers actually want, which is exam-shaped questions on the real outline, is to generate them from the source GitHub publishes. Upload the skills-measured guide and your own agent notes, and you get a question set weighted to the same six domains, with an answer key you can check against the documentation. It stays current because the source does, and it does not put your credential at risk.

How to build GH-600 practice questions when no question bank exists

A new exam is the strongest case for generated practice: the study guide is the only authoritative source, and it is current by definition.

1
Upload the source material
The GH-600 study guide, GitHub's agent and MCP documentation, or your own notes from running coding agents on real tasks.
2
Drill one domain at a time
The six domains are nearly flat, so no domain is skippable. Generate a set per domain and track which vocabulary you miss.
3
Turn experience into answers
You have seen agents drift, loop and clobber each other's branches. Practice mapping those war stories to the outline's terms: root-cause classes, recovery patterns, autonomy levels.
4
Simulate the timed sit
With no official mock, build your own: a longer generated set, 120 minutes on the clock, all six domains mixed. Review every miss before booking.

GitHub agentic AI certification questions, answered

What is the GitHub agentic AI certification?
It is GitHub Certified: Agentic AI Developer, earned by passing Exam GH-600: Developing in Agentic AI Systems. The exam validates that you can integrate AI agents into the software development lifecycle: configure tools and MCP servers, manage agent memory and state, evaluate and tune agent behavior, orchestrate multiple agents, and implement guardrails with human-in-the-loop controls. The official certification page currently labels it beta.
What is the GH-600 exam?
GH-600: Developing in Agentic AI Systems is GitHub's exam for the Agentic AI Developer certification, hosted on Microsoft Learn alongside the other GitHub exams. It has six domains, the biggest being implement tool use and environment interaction at 20 to 25 percent. You get 120 minutes, it is proctored, may include interactive components, and the word agent appears 71 times in its roughly 850-word skills outline.
Is the GH-600 exam still in beta?
No. GH-600 left beta on July 25, 2026, when beta dropped from the exam title, and the held-back beta scores were released two days later. Booking it now works like any other proctored exam: you sit it and you get your result at the test center. What has not changed is that no official Microsoft practice assessment exists for GH-600.
What is the passing score for GH-600?
700 out of 1000, the standard scale for Microsoft-hosted exams. It is not a raw 70 percent of the questions: the score is scaled across the six domains, so one weak domain can sink a sit that looked fine on total questions answered. GitHub does not publish a question count for GH-600 because the format may include interactive components.
Do GH-600 exam dumps work?
No, and for GH-600 they are worse than useless. Using stolen live questions breaks the Microsoft Certification Agreement and can void the credential and ban the candidate. Beyond that, the exam only reached general availability in July 2026, so anything sold as a dump is recycled GH-300 content or invented. Generating questions from the current study guide gives you a defensible set instead.
How long is the GH-600 exam?
The official certification page states you will have 120 minutes to complete the assessment. That is longer than the other GitHub exams, which state 100 minutes. The exam is proctored and may include interactive components. Neither GitHub nor Microsoft publishes a question count.
How much does the GitHub agentic AI certification cost?
Microsoft's published exam pricing feed lists GitHub certification exams under a single GH family code at $99 in the United States. GH-600 does not appear in the feed under its own code, so no source can honestly quote a GH-600-specific figure, and beta exams are often discounted at registration. Confirm the fee when you book.
Is the GitHub agentic AI certification worth it?
If you work with AI coding agents, it is the first vendor certification that examines the operational discipline of agentic development: planning versus execution boundaries, MCP configuration, memory and context drift, multi-agent conflict resolution and guardrails. Taking it in beta puts the credential on your resume before most of the market has heard of it. If you want the Copilot-usage side examined instead, that is GH-300, the GitHub Copilot certification; the two overlap far less than their names suggest.
What should I study for GH-600?
Study the six-domain outline directly: agent architecture and SDLC integration, tool use and MCP servers (registries, allow lists, remote GitHub MCP), memory strategies and context drift, evaluation and root-cause analysis of agent failures, multi-agent orchestration patterns, and guardrails with autonomy levels. Because the exam is new, there are almost no third-party question banks; generating practice questions from the study guide and GitHub's agent documentation is the most current prep available.

PDFQuiz is not affiliated with, endorsed by, or sponsored by GitHub or Microsoft. GitHub is a trademark of GitHub, Inc. This generator builds practice questions from material you upload and is a study aid, not a substitute for official learning paths. GH-600 is in beta and its details can change: always confirm the current skills-measured document and exam status before you book.

Related study tools

GH-600 is the newest exam in the GitHub track. The GitHub Copilot certification practice test covers GH-300, the AI exam most people compare it against. The GitHub Actions certification practice exam covers the CI workflows GH-600 expects agents to be invoked from, and the GitHub Foundations practice test is the entry point to the whole track. Any study guide works with the certification exam generator.

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