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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Developer Productivity with Copilot		- Workflow optimization 1. Debugging and code completion enhancement 2. Using Copilot in IDE workflows
Topic 2: GitHub Copilot Data, Privacy, and Architecture		- Data handling and privacy safeguards 1. Data usage and retention considerations 2. Content exclusions and enterprise controls
Topic 3: Prompt Engineering and Context Crafting		- Effective prompting techniques 1. Context optimization for code generation 2. Zero-shot and few-shot prompting
Topic 4: GitHub Copilot Plans and Features	31%	- Core Copilot features 1. CLI and multi-suggestion workflows 2. Inline code suggestions 3. Chat-based assistance - Copilot plans comparison 1. Copilot Individual vs Business vs Enterprise 2. IDE integration and Copilot Chat usage
Topic 5: Responsible AI	7%	- Explain responsible usage of AI 1. Ethical AI practices and mitigation of harm 2. Validating AI-generated output 3. Bias, privacy, security, and transparency considerations 4. Risks and limitations of generative AI

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GitHub CopilotCertification Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
What kind of insights can the GitHub Copilot usage metrics API provide to help evaluate the effectiveness of GitHub Copilot? Each correct answer presents part of the solution. (Choose two.)

A. The API can provide Copilot Chat specific suggestions acceptance metrics.
B. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
C. The API can track the acceptance rate of code suggestions accepted and used in the organization.
D. The API can provide feedback on coding style and standards compliance.
E. The API can refactor your code to improve productivity.

Answer: A,C

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.

NEW QUESTION # 82
Your development team is concerned about the use of proprietary code in GitHub Copilot's training dataset. To maintain privacy and protect intellectual property, they want to ensure that specific files or directories are not used by GitHub Copilot for training purposes. What should they configure to achieve this?

A. Add the files to ".gitignore" so Copilot doesn't access them
B. Place a comment in the file indicating it is confidential
C. Use the ".Copilotignore" file to list files or paths to be excluded from Copilot context and trainingright
D. Disable GitHub Copilot entirely from the organization settings

Answer: C

Explanation:
GitHub Copilot supports the ".Copilotignore" file, which allows users to explicitly exclude files or folders from being considered as context for suggestions and from being used for future model improvements. This is the appropriate way to protect proprietary code.
Reference:
https://learn.microsoft.com/en-us/training/modules/github-copilot-management-and-customizations/4-manage-content-exclusions
https://marketplace.visualstudio.com/items?itemName=Mattickx.copilotignore-vscode

NEW QUESTION # 83
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

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

Answer: B

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

NEW QUESTION # 84
Which of the following are true about code suggestions? Each correct answer presents part of the solution. (Choose two.)

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

Answer: C,E

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 # 85
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

A. Suggest homogeneous solutions if provided a diverse data set.
B. Suggest completely novel projects, while reducing time on a project.
C. Suggest code snippets that reflect the most common practices in the training data.
D. Suggest innovative coding solutions that are not yet popular.

Answer: C

Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.

NEW QUESTION # 86
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