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NEW GITHUB-COPILOT TEST DISCOUNT - GITHUB-COPILOT EXAM COLLECTIO

 

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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: Understand GitHub Copilot Data and Architecture 10-15% - Pipeline, MCP, context gathering, data handling
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: Responsible AI 15-20% - Ethics, validation, bias mitigation, transparency
Topic 6: Improve Developer Productivity 10-15% - Agent workflows, productivity, SDLC integration

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GitHub CopilotCertification Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API? Each correct answer presents part of the solution. (Choose two.)

  • A. Get a summary of GitHub Copilot usage for organization members
  • B. List of all unsubscribed GitHub Copilot members within an organization
  • C. List all GitHub Copilot seat assignments for an organization
  • D. View code suggestions for a specific user

Answer: A,C

Explanation:
The REST API includes a List all Copilot seat assignments for an organization endpoint, which returns every active seat currently being billed for that org There's also a Get Copilot metrics for an organization endpoint that provides a summary of usage data across all organization members

 

NEW QUESTION # 16
Are there any limitations to consider when using GitHub Copilot for code refactoring?

  • A. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
  • B. GitHub Copilot always produces bug-free code during 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: A

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 # 17
Which of the following are true about code suggestions? Each correct answer presents part of the solution. (Choose two.)

  • A. Alternative code suggestions can be shown in a new tab
  • B. Code suggestions are guaranteed to not expose known security vulnerabilities
  • C. You can use keyboard shortcuts to accept the next word in a suggestion
  • D. Code suggestions are limited to single-line suggestions
  • E. Code suggestions will always compile or run without modifications

Answer: A,C

Explanation:
You can use keyboard shortcuts (e.g., Tab or Ctrl+→) to accept the next word (or token) of an inline suggestion.
When you request alternative completions, Copilot opens them in the Copilot pane (a new editor tab) where you can browse and insert the option you prefer.

 

NEW QUESTION # 18
Which Copilot Enterprise features are available in all commercially supported IDEs?

  • A. Chat
  • B. Pull request summaries
  • C. Inline suggestions
  • D. Knowledge bases

Answer: A,C

Explanation:
Chat: The Copilot Chat pane is integrated into every commercially supported IDE, letting you ask coding questions and get conversational assistance directly in your editor.
Inline suggestions: Real‑time code completions ("inline suggestions") appear as you type in all supported IDEs, providing context‑aware code snippets without leaving your editor.

 

NEW QUESTION # 19
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 that contains logical errors or produces unexpected results
  • B. Sexually suggestive or explicit content
  • C. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
  • D. Code comments containing strong opinions or criticisms

Answer: B,C

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 # 20
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Created: 29/10/2026 06:39:47
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