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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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GitHub CopilotCertification Exam Sample Questions (Q93-Q98):

NEW QUESTION # 93
1.
blog.yatricloud.com
blog.yatricloud.com

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

Answer: A,B

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 # 94
What is zero-shot prompting?

A. Giving GitHub Copilot examples of the algorithm and outcome you want to use
B. Telling GitHub Copilot it needs to show only the correct answer
C. Giving as little context to GitHub Copilot as possible
D. Giving GitHub Copilot examples of the problem you want to solve
E. Only giving GitHub Copilot a question as a prompt and no examples

Answer: E

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 95
How does GitHub Copilot typically handle code suggestions that involve deprecated features or syntax of programming languages?

A. GitHub Copilot always filters out deprecated elements to promote the use of current standards.
B. GitHub Copilot automatically updates deprecated features in its suggestions to the latest version.
C. GitHub Copilot may suggest deprecated syntax or features if they are present in its training data.
D. GitHub Copilot rejects all prompts involving deprecated features to avoid compilation errors.

Answer: C

Explanation:
GitHub Copilot generates suggestions from patterns in its training corpus, so if deprecated syntax or features were part of that data, it can still propose them-developers must review and update any outdated code.

NEW QUESTION # 96
How can GitHub Copilot aid developers in writing documentation for their code?

A. GitHub Copilot can suggest summaries or descriptions based on the code's functionality.
B. GitHub Copilot cannot assist in writing documentation or comments.
C. GitHub Copilot can automatically generate complete and detailed documentation.
D. GitHub Copilot can only generate content in markdown format.

Answer: A

Explanation:
GitHub Copilot can analyze your code's structure and intent to propose concise summaries or descriptive comments, helping you draft documentation more efficiently.

NEW QUESTION # 97
What are the effects of content exclusions? (Each correct answer presents part of the solution.
Choose two.)

A. The IDE will not count coding suggestions in the excluded content.
B. GitHub Copilot suggestions are no longer available in the excluded files.
C. The excluded content is no longer used while debugging the code.
D. The excluded content is not directly available to GitHub Copilot to use as context.

Answer: B,D

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.

NEW QUESTION # 98
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