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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:	GitHub
Exam Name:	Microsoft GitHub Copilot
Exam Number:	GH-300
Exam Format:	Multiple Choice
Available Languages:	English
Certificate Validity Period:	2 years
Related Certifications:	GitHub Copilot Certified Professional
Real Exam Qty:	60-65
Exam Price:	$99 USD
Passing Score:	700 / 1000
Exam Duration:	100 minutes
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	Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
Topic 2	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 3	Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.
Topic 4	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 (Q71-Q76):

NEW QUESTION # 71
How does GitHub Copilot Chat ensure that a function works correctly?

A. By writing the implementation code for the function.
B. By executing the test cases to validate the correctness of the code.
C. By suggesting assertions based on the code's context and semantics.
D. By automatically writing all the tests for the function.

Answer: C

Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

NEW QUESTION # 72
Which of the following are valid and commonly used commands while using GitHub Copilot in the CLI?

A. Copilot.run, Copilot.info, Copilot.chat
B. gh codegen, gh audit, gh summarize
C. gh Copilot status, gh Copilot init, git Copilot deploy
D. gh Copilot explain, gh Copilot suggest, gh Copilot extension listright

Answer: D

Explanation:
gh Copilot explain: Used to get the explanation of code or commands.
gh Copilot suggest: Ask Copilot to provide suggestions for performing a Task.
gh Copilot extension list: Displays all the available extensions and also indicates the proper installation of Copilot.
This set of commands can enable developers to interact with AI from the terminal in a seamless way.
Reference:
https://docs.github.com/en/Copilot/using-github-Copilot/using-github-Copilot-in-the-command-line

NEW QUESTION # 73
Identify the steps involved in the life cycle of a GitHub Copilot code suggestion? Each correct answer presents part of the solution. (Choose two.)

A. Storing user data
B. Capturing the user's context
C. Generate suggestions
D. Retraining the model
E. Processing telemetry data

Answer: B,C

Explanation:
GitHub Copilot begins by capturing your current editing context - such as surrounding code, comments, and cursor position - and then feeds that into its AI model to generate code suggestions tailored to what you're working on.

NEW QUESTION # 74
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

A. "Suggest ways to enhance the maintainability of this code segment."
B. "Refactor my application to meet the latest coding standards."
C. "Predict future coding trends and update my codebase accordingly."
D. "Show me how to improve the readability of this function."

Answer: A,D

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.

NEW QUESTION # 75
What is used by GitHub Copilot in the IDE to determine the prompt context?

A. Information from the IDE like open tabs, cursor location, selected code.
B. All the code visible in the current IDE.
C. The open tabs in the IDE and the current folder of the terminal.
D. All the code in the current repository and any git submodules.

Answer: A

Explanation:
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.

NEW QUESTION # 76
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