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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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GitHub CopilotCertification Exam Sample Questions (Q52-Q57):

NEW QUESTION # 52
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)

A. Code comments containing strong opinions or criticisms
B. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
C. Code that contains logical errors or produces unexpected results
D. Sexually suggestive or explicit content

Answer: B,D

Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.

NEW QUESTION # 53
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Accepted chat suggestions
B. Suggestions blocked by duplication detection filtering
C. Code suggestions made by GitHub Copilot
D. Changes to content exclusion settings

Answer: D

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.

NEW QUESTION # 54
If you are working on open source projects, GitHub Copilot Individual can be paid:

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

Answer: B

NEW QUESTION # 55
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A. Provide insight on where to get the content from to get a response
B. Provide all information about the utilized files
C. Provide specific success criteria
D. Provide links to supporting documentation

Answer: A,C

Explanation:
To improve prompt quality for GitHub Copilot (especially Copilot Chat), good prompts should:
Clearly describe what "success" looks like
Specify where the context comes from (e.g., which file, function, or problem area) Be focused, not overloaded with unnecessary information

NEW QUESTION # 56
You are configuring GitHub Copilot in the CLI for a smoother developer experience. Which of the following aliases can be set up to perform common actions like code suggestions and explanations?

A. "ghinit" - Initialize Copilot CLI
B. "ghrun" - Run Copilot commands in a build pipelinewrong
C. "ghce" - GitHub Copilot Explainright
D. "ghcs" - GitHub Copilot Suggestright
E. "ghshare" - Share Copilot responses with your colleagueswrong

Answer: C,D

Explanation:
ghcs is a commonly configured alias for the GitHub Copilot CLI command to suggest code. It simplifies the user experience by allowing developers to quickly prompt Copilot from the terminal.
ghce stands for GitHub Copilot Explain and is another helpful alias that allows developers to request natural language explanations for code from the terminal.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/configuring-github-Copilot-in-the-cli#setting-up-aliases

NEW QUESTION # 57
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