GitHub Copilot Certification | Practice Exams 2026

Ace the GitHub Copilot Exam with Confidence!

Dominate your GitHub Copilot certification with this comprehensive practice exam course. Crafted by a certified GitHub Copilot enthusiast and co-instructor, this course offers unique, challenging questions designed from scratch to mirror the real exam experience.

Here's what makes this course stand out:

Expertly Curated:  Benefit from my firsthand experience as a GitHub Copilot certificate holder and co-instructor. I've poured my knowledge and insights into creating a practice exam that truly prepares you for success.

In-depth Explanations:  Don't just get the right answer – understand why it's right! Each question comes with a detailed explanation, ensuring you grasp the core concepts and best practices.

Comprehensive Coverage:   This practice exam covers all the essential areas and topics featured in the official GitHub Copilot exam.

Always Up-to-Date:  The world of GitHub Copilot is constantly evolving. Rest assured, this course is regularly updated to reflect the latest features and exam changes. You can see the change log in the last topic.

*** Practice Exam details ***

This practice covers seven domains based on the study guide and my experience, ensuring that you won’t miss anything.

Domain 1: Responsible AI 7%

Domain 2: GitHub Copilot plans and features 31%

Domain 3: How GitHub Copilot works and handles data 15%

Domain 4: Prompt crafting and Prompt engineering 9%

Domain 5: Developer use cases for AI 14%

Domain 6: Testing with GitHub Copilot 9%

Domain 7: Privacy fundamentals and context exclusions 15%

*** Example Question ***

** Question 1:

What is the relationship between the "toxicity filter" and the "hate speech filter" in GitHub Copilot?

Answer Options:

1. The hate speech filter is a component of the broader toxicity filter.

2. The toxicity filter and the hate speech filter are independent and operate separately.

3. The toxicity filter is triggered only after the hate speech filter detects offensive language.

4. The hate speech filter is more lenient than the toxicity filter, allowing for some forms of offensive language.

Correct Answer:

1. The hate speech filter is a component of the broader toxicity filter.

Explanation:

GitHub Copilot's toxicity filter is designed to catch various kinds of harmful language, and the hate speech filter is specifically designed to catch hate speech. This means that the hate speech filter is just one part of the overall toxicity filter.

** Question 2:

You want Copilot Chat to generate code for a simple JavaScript function. Which of the following are acceptable ways to phrase your request (Select two)?

Answer Options:

1. write a javascript function to [function purpose]

2. /new javascript function to [function purpose]

3. @javascript write a function to [function purpose]

4. create function to [function purpose] in #file

Correct Answers:

1. write a javascript function to [function purpose]

4. create function to [function purpose] in #file

Explanations:

• Option 1 is correct because it's a clear and direct instruction to Copilot Chat. For example, you could say "write a javascript function to calculate the area of a triangle".

• Option 2 is incorrect because "/new" is usually used for creating new files or projects, not for individual functions within a file.

• Option 3 is incorrect because there's no "@javascript" command or participant in Copilot Chat.

• Option 4 is correct because it clearly tells Copilot what you want ("create function") and provides context by specifying the file where the function should be added (using the "#file" variable).

Ready to boost your confidence and pass the GitHub Copilot exam with flying colors? Enroll now and take your coding skills to the next level!

*** Github Copilot Update ***

** June 2026

GitHub Copilot just transformed into an agentic engineering system. The latest update introduces a standalone Desktop App for running parallel multi-repo agent tasks, alongside Model Context Protocol (MCP) integration for smarter, context-aware code reviews. Critically, GitHub has transitioned to a token-based Usage-Based Billing model, shifting high-draw agentic features to a credit system.

** May 2026

Update centered on general availability for Claude Opus 4.8 engine inside Copilot. It introduced highly granular organization-level model targeting rules alongside a strict repository-level off switch to give enterprise administrators absolute control over Copilot Memory retention. Finally, the Copilot usage metrics REST API was upgraded with an advanced AI adoption cohorts feature, allowing enterprise owners to systematically track and classify how engineering teams transition from traditional inline completions to multi-agent or agent-first orchestrations.

** April 2026

Established a massive shift toward autonomous agentic environments, allowing developers to spin up cloud agent sessions right from the IDE that automatically create remote GitHub issues and pull requests. It introduced a specialized live-runtime debugger agent that can actively reproduce, instrument, and diagnose bugs against running application behavior.

** March 2026

March pushed hard on coding agent performance and ecosystem integration. The coding agent started work 50% faster, gained semantic code search, and became traceable per commit. Copilot for Jira entered public preview. Code review moved to an agentic architecture. Copilot Memory turned on by default for Pro/Pro+ users. Figma MCP integration enabled design-to-code generation directly from VS Code.

** February 2026

February was dominated by model releases and the Copilot CLI going generally available. Agentic Workflows entered technical preview. Enterprise AI Controls went GA, giving admins policy control over agents. GitHub Mobile gained live coding agent notifications. The coding agent expanded to Windows projects and gained a model picker for Business and Enterprise users.

** January  2026

GitHub Copilot added Memory (preview) to remember project context, expanded BYOK so enterprises can use more AI providers, introduced newer AI models for better code quality, integrated Copilot CLI directly into GitHub CLI, and improved agent-based workflows that can run tasks in parallel across repos and IDEs.

** December 2025

GitHub Copilot underwent a significant milestone in December, transitioning from a chat assistant to a fully Agentic platform. The General Availability of GPT-5.2 and Claude 4.5 brought advanced reasoning models directly into your IDE. Copilot Memory (early access) enables the AI to learn your project’s architectural patterns over time. Team members can now delegate complex tasks like multi-file refactors to “Agents” and track their progress in a unified dashboard.

** November 2025

GitHub Copilot pivoted significantly toward Agentic AI with the launch of “Agent HQ,” a unified interface for managing autonomous coding agents and selecting from new high-reasoning models like Claude Opus 4.5 and Gemini 3 Pro. Extended agent monitoring to GitHub Mobile, and debuted a Metrics Dashboard to help technical leads track adoption and ROI, effectively transforming into a comprehensive multi-agent platform.

** October 2025

GitHub Copilot got smarter and easier to control. You can switch AI models in the CLI, including Claude Sonnet 4.5. The CLI now supports image input using @, direct shell commands with !, and improved UI navigation. There are stronger permission controls, better usage visibility, and enhanced enterprise authentication and policy handling.

** September 2025

In Sept 2025, GitHub Copilot had major upgrades: the coding agent went GA, letting it open PRs, update code, and respond to reviews. Spaces became GA for shared project context. GPT-5/5 mini and Claude Sonnet 4.5 launched while older models were retired. A new Copilot CLI entered preview, replacing gh-copilot. Copilot is now a true AI coding partner across IDEs, CLI, and GitHub.

** August 2025

GitHub Copilot got major model upgrades with GPT‑5 (smart mode auto‑switching models), GPT‑5 Mini (fast, efficient), and Gemini 2.5 Pro (premium plan access). A new “agents panel” lets you launch and track AI‑agent tasks from any GitHub page. You can now create sub‑issues via chat and use AGENTS md for custom agent instructions. GPT‑4.1 became default for autocomplete.

** July 2025

GitHub Copilot added PR auto-updates, improved .NET app modernization with AI-guided tasks, and enhanced mobile chat UI. Xcode users got Copilot Vision for image-based input, custom instructions, and locale-aware responses. The API’s last_activity_at tracking became more reliable, supporting better user management. These updates strengthen Copilot as an AI coding agent.

** June 2025

GitHub Copilot introduced significant changes including enforced monthly premium request allowances for all paid plans with pay-per-request options available. Agent mode became generally available with MCP tools support in Visual Studio. Key feature additions included @ symbol reference support in Copilot Chat, enhanced VS Code integration with pull request tracking, and improved MCP server capabilities with authentication and debugging support.

** May 2025
GitHub Copilot evolve significantly. Key updates include the Copilot Coding Agent (public preview), enabling autonomous task completion and PR generation. Copilot Spaces launched for team collaboration. App Modernization features for .NET/Java were released, and Agent Mode expanded to more IDEs. New models like Anthropic Claude Sonnet/Opus 4 were integrated. Copilot Code Review became generally available, and the Copilot Chat extension for VS Code will be open-sourced. These changes push Copilot towards greater autonomy and collaborative capabilities.

** April 25

GitHub Copilot introduced the Pro+ plan, offering access to advanced models like GPT-4.5, Claude 3.7 Sonnet, and Gemini Flash 2.0, with 1,500 premium requests monthly. Enhancements included multi-file editing, AI-powered code reviews for more languages, and image-based code generation via Copilot Vision. while Agent Mode allowed Copilot to autonomously complete coding tasks. These updates collectively elevated Copilot from a coding assistant to a comprehensive AI development partner

** March 25

GitHub Copilot has several updates: instant semantic code search indexing now completes in seconds, improving response time. Code completion for Eclipse is now generally available. Personal custom instructions can now be set on GitHub com for tailored responses. The February VS Code update (v0.25) enhances agent mode and adds Copilot Vision (preview), allowing users to attach images for troubleshooting and UI generation.

** February 25

Copilot updates feature enhanced workspace quotas, dashboard issue tracking, and UX improvements. New AI models like GPT-4.5, o3-mini, Gemini 2.0 Flash, Sonet 3.7, and GPT-4o. Free Copilot access in Windows Terminal Canary. The beta usage API will be deprecated in 2025, while the Language Server SDK enables Copilot integration across more IDEs like Eclipse and Xcode, now with chat and code completion.

** January 25
GitHub Copilot introduced several updates to enhance the developer experience. Workspace enhancements now allow developers to add files directly to the file tree without altering the plan, and benefit from codespaces being created in the closest region for reduced latency. Additionally, updated header formats for Copilot Extensions will be required by March 31, 2025

** December 24

GitHub has introduced several updates to its Copilot features, including GitHub Copilot for JetBrains now supporting the free plan and the announcement of GitHub Copilot Free. Copilot Chat is generally available to all users, now featuring a 64k context window powered by OpenAI GPT-4o. Additionally, Copilot Autofix can be generated via the REST API (Public Preview). The VS Code November release (v0.23) brings productivity enhancements for multi-file editing, debugging, and chat context.

** November 24

GitHub has introduced skillsets, a lightweight method to build GitHub App-based Copilot Extensions, simplifying integration of external tools and services into Copilot Chat via API endpoints Additionally, for Copilot Enterprise customers, GitHub has enhanced the Copilot Immersive fullscreen chat experience with a streamlined UI and improved context handling for greater usability.

** October 24 

GitHub Copilot has introduced several new features and updates, including multi-file editing, code review, custom instructions, and more in the October release (v0.22) for VS Code. Custom instructions. The Copilot Metrics API GA release. Additionally, Copilot Chat in VS Code has been enhanced with new GitHub skills and web search capabilities. GitHub Copilot supports AI agents like Copilot code review and autofix.