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| Section | Weight | Objectives |
|---|
| Configure Privacy, Exclusions, Safeguards | 10-15% | - Agent permissions, content exclusions, org policies
|
| GitHub Copilot Features | 25-30% | - Multi-model, Agent Mode, Mission Control, BYOK
|
| Responsible AI | 15-20% | - Ethics, validation, bias mitigation, transparency
|
| Improve Developer Productivity | 10-15% | - Agent workflows, productivity, SDLC integration
|
| Apply Prompt Engineering and Context | 10-15% | - Model-specific prompting, context files, best practices
|
| Understand GitHub Copilot Data and Architecture | 10-15% | - Pipeline, MCP, context gathering, data handling
|
>> Test GitHub-Copilot Pattern <<
Quiz GitHub-Copilot - Trustable Test GitHub CopilotCertification Exam Pattern
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GitHub CopilotCertification Exam Sample Questions (Q61-Q66):
NEW QUESTION # 61
In which of the following scenarios is GitHub Copilot Chat most effectively utilized?
- A. Generating pull request summaries
- B. Configuring organization-wide access controls
- C. Asking questions about project-specific code behaviorright
- D. Viewing repository audit logs
Answer: C
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 # 62
Your company recently adopted GitHub Copilot Business, and leadership wants to ensure accountability and transparency in its usage. Which of the following best describes the purpose of audit logs in GitHub Copilot Business?
- A. To provide real-time AI-assisted debugging support across repositories
- B. To monitor and track how Copilot suggestions are accepted or rejected in individual repositories
- C. To log the activities of users, including who enabled or disabled Copilot and when, across the organizationright
- D. To generate automated summaries for pull requests using organizational knowledge
Answer: C
Explanation:
Organization audit logs are primarily used to track administrative actions such as enabling or disabling GitHub Copilot, identifying the user who performed the action, and the timestamp. This promotes accountability, transparency, and security compliance.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/managing-github-Copilot-in-your-organization/reviewing-activity-related-to-github-Copilot-in-your-organization/reviewing-audit-logs- for-Copilot-business
NEW QUESTION # 63
How long does it take content exclusion to add or be updated?
- A. 60 - 90 minutes
- B. 24 hours
- C. Up to 30 minutes
- D. 45 - 60 minutes
Answer: C
NEW QUESTION # 64
In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?
- A. GitHub Copilot can directly convert legacy applications into cloud-native architectures.
- B. GitHub Copilot can create and deploy full-stack applications based on a single query.
- C. GitHub Copilot can automatically refactor applications to align with upcoming standards.
- D. GitHub Copilot can suggest modern programming patterns based on your code.
Answer: D
Explanation:
GitHub Copilot and GitHub Copilot Chat are powerful AI-driven tools designed to assist developers by providing context-aware code suggestions and interactive support. Specifically, in the context of modernizing applications, GitHub Copilot excels at analyzing existing code and suggesting modern programming patterns, best practices, and syntax improvements that align with contemporary development standards. For example, it can recommend updates to outdated constructs, propose more efficient algorithms, or suggest frameworks and libraries that are widely used in modern application development.
NEW QUESTION # 65
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
- A. Prompts and Suggestions: Not retained
- B. Prompts and Suggestions: Retained for 28 days
- C. User Engagement Data: Kept for One Year
- D. User Engagement Data: Kept for Two Years
Answer: B,D
Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.
NEW QUESTION # 66
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