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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 Duration:	100-120
Passing Score:	700/1000
Available Languages:	Spanish, English, Korean, Portuguese (Brazil), Japanese
Related Certifications:	GitHub Copilot Fundamentals Part 1 GitHub Copilot Fundamentals Part 2
Certificate Validity Period:	2 years
Real Exam Qty:	60-75 (approximately 65 scored + unscored items)
Exam Price:	USD 99
Exam Format:	Drag and drop, Scenario-based questions, Multiple choice, Multiple response
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:

Topic	Details
Topic 1	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 2	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 3	Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
Topic 4	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.

Microsoft GitHub Copilot Sample Questions (Q62-Q67):

NEW QUESTION # 62
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

A. It can answer questions about the changeset of the pull request.
B. It can validate the accuracy of the changes in the pull request.
C. It automatically merges pull requests after an automated review.
D. It generates a prose summary and a bulleted list of key changes for pull requests.

Answer: A,D

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

NEW QUESTION # 63
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution. Choose two.)

A. Limited training data
B. Ability to handle complex code structures
C. Extensive support for all programming languages
D. No biases in code suggestions

Answer: A,C

Explanation:
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.

NEW QUESTION # 64
How can users provide feedback about GitHub Copilot Chat using their IDE?

A. By filling out a feedback form on the GitHub website
B. Through the "Share Feedback" button in the Copilot Chat panel
C. By posting on the GitHub forums
D. By emailing the support team directly

Answer: B

Explanation:
"In supported IDEs, you can provide feedback directly from the Copilot Chat panel by selecting the 'Share Feedback' option." This establishes that the in-IDE "Share Feedback" button is the official channel for submitting user feedback.
References: GitHub Copilot Chat feedback documentation.

NEW QUESTION # 65
When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?

A. By using a specific command in the terminal.
B. By using specific prompt examples in your chat request.
C. By using a specific slash command in the prompt.
D. By using a specific setting in GitHub Copilot's configuration.

Answer: B

Explanation:
"The quality of Copilot Chat responses depends on the clarity and specificity of your prompts. You can guide Copilot to follow organizational standards by including examples or requirements in your request." This means prompt engineering with specific examples is the way to align with company standards.
References: GitHub Copilot Chat best practices documentation.

NEW QUESTION # 66
You have a GitHub Copilot subscription.
You need to start an interactive GitHub Copilot CLI session from the root folder of a project.
If you are NOT authenticated, GitHub Copilot must prompt you to sign in.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

NEW QUESTION # 67
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