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Microsoft GH-300 Exam Syllabus

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Before starting your GH-300 exam preparation, it is recommended to review the complete Microsoft GitHub Copilot Exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free GH-300 questions. We also provide premium GH-300 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Microsoft
Vendor
GH-300
Exam Code
120
Total Questions
6
Total Exam Domains

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GH-300 EXAM QUESTIONS

Microsoft GH-300 Exam Objectives

Section 1: Use GitHub Copilot responsibly
Weight:
15-20%
Understand responsible AI principles
  • Describe risks and limitations of Generative AI tools
  • Describe ethical and responsible AI usage
  • Identify potential harms and mitigation strategies of AI usage
Validate and operate AI tools
  • Explain the need to validate AI output
  • Identify how to operate GitHub Copilot responsibly
Section 2: Use GitHub Copilot features
Weight:
25-30%
Use GitHub Copilot in the IDE
  • Enable Copilot in the IDE
  • Trigger Copilot through inline suggestions, chat, CLI, and agent mode
  • Configure content exclusions for specific files or repositories (app knowledge)
Use GitHub Copilot CLI

Define GitHub Copilot CLI and how it benefits developers

Identify the steps for installing GitHub Copilot CLI

Describe key GitHub Copilot CLI features and commands

Use GitHub Copilot CLI interactively and in sessions

Generate scripts and manage files with GitHub Copilot CLI

Use GitHub Copilot features and capabilities
  • Use Agent Mode, Copilot Edits, and MCP for enhanced development and workflows; manage Agent Sessions and delegate tasks to Sub?Agents for optimized context usage
  • Use Copilot for code review and coding assistance
  • Utilize Spaces, Spark, Pull Request summaries, and customizable review standards via instructions files
  • Understand the limits, options, feedback, and commands of GitHub Copilot Chat; include prompt file reuse for consistent responses
Manage organization-wide settings and policies
  • Configure organization-wide policy management; enable Copilot Code Review policies and manage feature availability across IDEs and github.com
  • Utilize audit log events
  • Manage subscriptions using the REST API
Section 3: Understand GitHub Copilot data and architecture
Weight:
10-15%
Describe data handling and flow
  • Explain data usage, flow, and sharing
  • Describe input processing and prompt building
  • Explain proxy filtering and post-processing
Understand lifecycle and limitations
  • Visualize code suggestion lifecycle
  • Describe limitations of LLMs and Copilot
Section 4: Apply prompt engineering and context crafting
Weight:
10-15%
Craft effective prompts
  • Describe prompt structure and context
  • Understand how context is determined
  • Use zero-shot and few-shot prompting
  • Apply best practices for prompt crafting
Engineer prompts for performance
  • Explain prompt engineering principles
  • Describe prompt process flow and chat history usage
Section 5: Improve developer productivity with GitHub Copilot
Weight:
10-15%
Enhance productivity and code quality
  • Use Copilot for code generation, refactoring, and documentation
  • Accelerate learning and reduce context switching
  • Generate sample data and modernize legacy code
Support testing and security
  • Generate unit and integration tests
  • Identify edge cases and write assertions
  • Suggest security improvements and performance optimizations
Section 6: Configure privacy, content exclusions, and safeguards
Weight:
10-15%
Manage privacy settings and exclusions
  • Configure content exclusions and editor settings
  • Describe ownership and limitations of outputs
Apply safeguards and troubleshoot
  • Enable suggestions matching public code filtering
  • Resolve issues with suggestions and content exclusions
Info
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-300