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Microsoft GH-300 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Copilot
Exam Number:	GH-300
Available Languages:	Korean, Portuguese (Brazil), Spanish, English, Japanese
Passing Score:	700 / 1000
Related Certifications:	GitHub Foundations GitHub Actions
Exam Duration:	100 minutes
Certificate Validity Period:	1 year (renewable)
Exam Price:	$99 USD
Exam Format:	Scenario-based, Multiple-choice
Real Exam Qty:	65
Sample Questions:	Microsoft GH-300 Sample Questions
Exam Way:	Online proctored exam (Pearson VUE)
Pre Condition:	No formal prerequisites. Microsoft recommends practical experience using GitHub Copilot in an IDE and a general understanding of software development principles.
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	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 2	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 3	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 4	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 5	Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.

Microsoft GitHub Copilot Sample Questions (Q107-Q112):

NEW QUESTION # 107
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)

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

Answer: A,C

Explanation:
Exact extracts:
* "GitHub Copilot Chat, like all AI models, is limited by its training data and may not always provide accurate or up-to-date answers." References: GitHub Copilot Chat limitations documentation.

NEW QUESTION # 108
How does GitHub Copilot utilize chat history to enhance its code completion capabilities?

A. By analyzing past chat interactions to identify common programming patterns and errors.
B. By sharing chat history with third-party services to improve integration and functionality.
C. By logging chat history to monitor user activity and ensure compliance with coding standards.
D. By using chat history to offer personalized code snippets based on previous prompts.

Answer: A

Explanation:
"GitHub Copilot Chat can reference the ongoing conversation history to analyze patterns, common coding styles, and errors, providing more accurate and contextual suggestions." This demonstrates that chat history is used to identify patterns and enhance contextual accuracy, making option C correct.
References: GitHub Copilot Chat documentation.

NEW QUESTION # 109
Which of the following is a risk associated with using AI?

A. AI algorithms are incapable of perpetuating existing biases.
B. AI systems can sometimes make decisions that are difficult to interpret.
C. AI replaces the need for developer opportunities in most fields.
D. AI eliminates the need for data privacy regulations.

Answer: B

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.

NEW QUESTION # 110
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

A. GitHub Copilot Business
B. GitHub Copilot Enterprise
C. GitHub Copilot Individual
D. GitHub Copilot Business for non-GHE Customers
E. GitHub Copilot Teams

Answer: C

Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.

NEW QUESTION # 111
You start GitHub Copilot CLI from a directory named /repo/app. You store test files in a directory named
/repo/tests.
You need to add /repo/tests as a trusted directory without restarting GitHub Copilot CLI. The solution must ensure that GitHub Copilot can access and modify the files.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 112
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