GitHub GitHub-Copilot Desktop Practice Exam Software

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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Configure Privacy, Exclusions, Safeguards	10-15%	- Agent permissions, content exclusions, org policies
Improve Developer Productivity	10-15%	- Agent workflows, productivity, SDLC integration
GitHub Copilot Features	25-30%	- Multi-model, Agent Mode, Mission Control, BYOK
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
Responsible AI	15-20%	- Ethics, validation, bias mitigation, transparency

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GitHub CopilotCertification Exam Sample Questions (Q114-Q119):

NEW QUESTION # 114
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

A. Reviewing and validating the generated output for accuracy and completeness.
B. The explanations are dynamically updated based on user feedback.
C. GitHub Copilot Chat uses a static database for generating explanations.
D. The explanations are primarily derived from user-provided documentation.

Answer: A

Explanation:
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.

NEW QUESTION # 115
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A. Provide insight on where to get the content from to get a response
B. Provide links to supporting documentation
C. Provide all information about the utilized files
D. Provide specific success criteria

Answer: A,D

Explanation:
To improve prompt quality for GitHub Copilot (especially Copilot Chat), good prompts should:
Clearly describe what "success" looks like
Specify where the context comes from (e.g., which file, function, or problem area) Be focused, not overloaded with unnecessary information

NEW QUESTION # 116
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

A. GitHub Copilot Individual
B. GitHub Copilot Teams
C. GitHub Copilot Business
D. GitHub Copilot Enterprise
E. GitHub Copilot Business for non-GHE Customers

Answer: A

Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.

NEW QUESTION # 117
GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings: (Each correct answer presents part of the solution. Choose two.)

A. GitHub CLI subcommands
B. The default editor
C. Usage analytics
D. The default execution confirmation

Answer: C,D

Explanation:
GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user's preferences.

NEW QUESTION # 118
How does GitHub Copilot Chat help to fix security issues in your codebase?

A. By annotating the given suggestions with known vulnerability patterns.
B. By enforcing strict coding standards that prevent the introduction of vulnerabilities.
C. By providing detailed reports on the security vulnerabilities present in the codebase.
D. By automatically refactoring the entire codebase to remove vulnerabilities.

Answer: A

Explanation:
Copilot Chat can analyze your code, highlight known vulnerability patterns, and annotate its suggestions with explanations of the security issues and proposed fixes.

NEW QUESTION # 119
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