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Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft / GitHub
Exam Name:GitHub Copilot Exam (GH-300)
Exam Number:GH-300
Exam Price:USD 99
Related Certifications:GitHub Copilot Fundamentals Part 1
GitHub Copilot Fundamentals Part 2
Passing Score:700/1000
Real Exam Qty:60-75 (approximately 65 scored + unscored items)
Exam Duration:100-120
Exam Format:Multiple choice, Multiple response, Drag and drop, Scenario-based questions
Available Languages:English, Portuguese (Brazil), Korean, Japanese, Spanish
Certificate Validity Period:2 years
Recommended Training:GitHub Copilot Fundamentals Part 2
GitHub Copilot Fundamentals Part 1
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Certification Page
Sample Questions:Microsoft GH-300 Sample Questions
Exam Way:Online proctored (Pearson VUE) or test center
Pre Condition:Basic GitHub knowledge and experience using at least one programming language; familiarity with GitHub Copilot recommended but not strictly required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot/

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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
Topic 1
  • How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
Topic 2
  • Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.
Topic 3
  • Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
Topic 4
  • GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
Topic 5
  • Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.

Microsoft GitHub Copilot Sample Questions (Q31-Q36):

NEW QUESTION # 31
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?

Answer: C

Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
Reference: Microsoft's AI principles and ethical guidelines.


NEW QUESTION # 32
Which Copilot Enterprise features are available in all commercially supported IDEs?

Answer: C

Explanation:
"Copilot Enterprise provides inline code suggestions and Copilot Chat in all commercially supported IDEs.
Additional features, such as pull request summaries and knowledge bases, are available in GitHub.com." This confirms that inline suggestions and Chat are the features consistently available in IDEs.
References: GitHub Copilot Enterprise feature documentation.


NEW QUESTION # 33
What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

Answer: A,C,E

Explanation:
"Enterprise administrators can configure content exclusions to exclude entire repositories, folders, or specific files from being used by Copilot." This confirms that files, folders, and repositories can be excluded, but not individual lines or gists.
References: GitHub Copilot content exclusions documentation.


NEW QUESTION # 34
What are the potential risks associated with relying heavily on code generated from GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
Heavy reliance on GitHub Copilot can introduce security vulnerabilities if the generated code contains known exploits. Additionally, Copilot's suggestions may not always align with best practices or the latest standards, requiring careful review and validation.


NEW QUESTION # 35
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

Answer: A,D

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
Reference: GitHub Copilot Enterprise pull request review documentation.


NEW QUESTION # 36
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