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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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GitHub CopilotCertification Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
How does GitHub Copilot Enterprise assist in code reviews during the pull request process?
(Select two.)

A. It can validate the accuracy of the changes in the pull request.
B. It can answer questions about the changeset of the pull request.
C. It generates a prose summary and a bulleted list of key changes for pull requests.
D. It automatically merges pull requests after an automated review.

Answer: B,C

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

NEW QUESTION # 19
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

A. It increases productivity by automating repetitive coding tasks.
B. It decreases software vulnerabilities from third party dependencies.
C. It replaces the need for developers in the software development process.
D. It reduces overhead by automating testing workflows.

Answer: A

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

NEW QUESTION # 20
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 feedback on coding style and standards compliance.
B. The API can provide Copilot Chat specific suggestions acceptance metrics.
C. The API can track the acceptance rate of code suggestions accepted and used in the organization.
D. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
E. The API can refactor your code to improve productivity.

Answer: B,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 # 21
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)

A. No biases in code suggestions
B. Extensive support for all programming languages
C. Limited training data
D. Ability to handle complex code structures

Answer: B,C

Explanation:
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.

NEW QUESTION # 22
What reasons could apply if code suggestions are not working in your editor? (Choose three.)

A. Your content exclusion is active and blocks the use of GitHub Copilot
B. You do not have an active internet connection
C. You are working in files included in your .gitignore
D. You do not have a valid GitHub Copilot license
E. Your programming language is not supported

Answer: B,D,E

Explanation:
Without an active internet connection, Copilot cannot reach its service to fetch suggestions.
If you're editing in a language that Copilot doesn't support, it won't produce completions.
An invalid or expired Copilot license will prevent any suggestions from appearing.

NEW QUESTION # 23
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