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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:	GitHub
Exam Name:	Microsoft GitHub Copilot
Exam Number:	GH-300
Passing Score:	700 / 1000
Available Languages:	English
Exam Duration:	100 minutes
Exam Price:	$99 USD
Real Exam Qty:	60-65
Related Certifications:	GitHub Copilot Certified Professional
Certificate Validity Period:	2 years
Exam Format:	Multiple Choice
Sample Questions:	GitHub GitHub-Copilot Sample Questions
Exam Way:	Proctored (Online or Offline Test Centers)
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.
Topic 2	GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
Topic 3	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

GitHub CopilotCertification Exam Sample Questions (Q86-Q91):

NEW QUESTION # 86
Are there any limitations to consider when using GitHub Copilot for code refactoring?

A. GitHub Copilot always produces bug-free code during refactoring.
B. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
C. GitHub Copilot can only be used with a limited set of programming languages.
D. GitHub Copilot understands the context of your entire project and refactors code accordingly.

Answer: B

Explanation:
GitHub Copilot's refactoring suggestions are generated from patterns in its training data and may not always follow the most optimized or best‑practice implementations. Developers should always review and refine any refactored code it produces to ensure correctness and quality.

NEW QUESTION # 87
What can be done during AI development to minimize bias?

A. Improve on the computational efficiency and speed.
B. Focus on accuracy of the data.
C. Use diverse data, fairness metrics, and human oversight.
D. Collect massive amounts of data for training.

Answer: C

Explanation:
Incorporating diverse datasets, applying fairness metrics throughout development, and maintaining human oversight are proven strategies for detecting and mitigating bias in AI systems.

NEW QUESTION # 88
In which of the following scenarios is GitHub Copilot Chat most effectively utilized?

A. Configuring organization-wide access controls
B. Viewing repository audit logs
C. Generating pull request summaries
D. Asking questions about project-specific code behaviorright

Answer: D

Explanation:
GitHub Copilot Chat excels at providing context-aware assistance directly within the developer's IDE. When a developer asks a question about a function, class, or logic in their codebase, Copilot Chat can interpret the context and offer accurate, helpful responses, such as explanations of what a piece of code does, how to refactor it, or how to fix an error. This makes it particularly effective for in-the-moment learning and debugging during software development.
Reference:
https://docs.github.com/en/Copilot/about-github-Copilot/what-is-github-Copilot#Copilot-features

NEW QUESTION # 89
What reasons could apply if code suggestions are not working in your editor? (Choose three.)

A. You are working in files included in your .gitignore
B. Your content exclusion is active and blocks the use of GitHub Copilot
C. Your programming language is not supported
D. You do not have an active internet connection
E. You do not have a valid GitHub Copilot license

Answer: C,D,E

Explanation:
Without an active internet connection, Copilot cannot reach its service to fetch suggestions.
If you're editing in a language that Copilot doesn't support, it won't produce completions.
An invalid or expired Copilot license will prevent any suggestions from appearing.

NEW QUESTION # 90
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?

A. The GitHub Copilot icon in the status bar of the editor will display a message
B. The GitHub Copilot errors panel in your IDE
C. The code suggestions window will display a warning message
D. The GitHub Copilot logs on GitHub.com under your user settings

Answer: A

Explanation:
The GitHub Copilot icon in your editor's status bar will display a message whenever suggestions are blocked due to content exclusions, making it the place to check for such notifications.

NEW QUESTION # 91
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