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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Improve Developer Productivity	10-15%	- Agent workflows, productivity, SDLC integration
Topic 2: Responsible AI	15-20%	- Ethics, validation, bias mitigation, transparency
Topic 3: Configure Privacy, Exclusions, Safeguards	10-15%	- Agent permissions, content exclusions, org policies
Topic 4: GitHub Copilot Features	25-30%	- Multi-model, Agent Mode, Mission Control, BYOK
Topic 5: Understand GitHub Copilot Data and Architecture	10-15%	- Pipeline, MCP, context gathering, data handling
Topic 6: Apply Prompt Engineering and Context	10-15%	- Model-specific prompting, context files, best practices

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GitHub CopilotCertification Exam Sample Questions (Q128-Q133):

NEW QUESTION # 128
If you are working on open source projects, GitHub Copilot Individual can be paid:

A. Through an invoice or a credit card
B. Copilot Individual is a free service for all open source projects
C. Through an Azure Subscription
D. Based on the payment method in your user profile

Answer: D

NEW QUESTION # 129
In what ways can GitHub Copilot support a developer during the code refactoring process? Each correct answer presents part of the solution. (Choose two.)

A. By autonomously refactoring entire codebases to the latest programming language.
B. By providing suggestions for improving code readability and maintainability based on best practices.
C. By independently ensuring compliance with regulatory standards across industries.
D. By offering code transformation examples that enhance performance and reduce complexity.

Answer: B,D

Explanation:
Copilot analyzes your code and suggests refactorings that improve readability and maintainability by applying established best practices.
It can propose alternative code patterns that reduce complexity and boost performance through targeted transformations.

NEW QUESTION # 130
What is used by GitHub Copilot in the IDE to determine the prompt context?

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

Answer: B

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 # 131
What is zero-shot prompting?

A. Giving GitHub Copilot examples of the problem you want to solve
B. Only giving GitHub Copilot a question as a prompt and no examples
C. Telling GitHub Copilot it needs to show only the correct answer
D. Giving as little context to GitHub Copilot as possible
E. Giving GitHub Copilot examples of the algorithm and outcome you want to use

Answer: B

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 132
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 a specific slash command in the prompt.
C. By using a specific setting in GitHub Copilot's configuration.
D. By using specific prompt examples in your chat request.

Answer: D

Explanation:
Providing concrete examples of your company's test structure and standards within the prompt steers Copilot Chat to generate boilerplate that aligns with your guidelines.

NEW QUESTION # 133
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