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Microsoft GH-300 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Copilot
Exam Number:	GH-300
Exam Format:	Scenario-based, Multiple-choice
Exam Price:	$99 USD
Certificate Validity Period:	1 year (renewable)
Exam Duration:	100 minutes
Related Certifications:	GitHub Actions GitHub Foundations
Available Languages:	English, Portuguese (Brazil), Japanese, Korean, Spanish
Passing Score:	700 / 1000
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	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.
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	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.
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 (Q127-Q132):

NEW QUESTION # 127
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

A. Comparing suggestions against public code using machine learning.
B. Reviewing the user's browsing history to identify public repositories
C. Running code suggestions through filters designed to detect public code
D. Analyzing the context and structure of the code being written

Answer: C

Explanation:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.

NEW QUESTION # 128
Why is code reviewing still necessary when using GitHub Copilot to write tests?

A. Because GitHub Copilot's generated test cases may not cover all possible scenarios.
B. Because GitHub Copilot replaces the need for manual testing.
C. Because GitHub Copilot generates the best code possible for the test scenario.
D. Because GitHub Copilot can cover all possible scenarios in your test cases.

Answer: A

Explanation:
Code review is necessary because GitHub Copilot's generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.

NEW QUESTION # 129
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Rename the files to include the suffix _no_copilot.
B. Modify the .gitignore file to include the specific files.
C. Use the GitHub Copilot settings in the user interface to exclude files.
D. Add the specific files to a copilot.ignore file.

Answer: D

NEW QUESTION # 130
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution.
Choose two.)

A. By adding the important files to your .gitconfig
B. By adding relevant code snippets to your prompt
C. By adding the full file paths to your prompt of important files
D. By opening the relevant tabs in your IDE

Answer: B,D

Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.
Reference: GitHub Copilot prompt engineering and context management.

NEW QUESTION # 131
How does the /tests slash command assist developers?

A. Creates unit tests for the selected code.
B. Integrates with external testing frameworks.
C. Constructs detailed test documentation.
D. Executes test cases to find issues with the code.

Answer: A

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

NEW QUESTION # 132
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