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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Developer Use Cases for AI	14%–20%	- Code generation and completion - Integration with IDEs and workflows - Refactoring, documentation, and testing
Prompt Crafting and Prompt Engineering	9%–15%	- Iterative improvement and context management - Designing effective prompts
Responsible AI	7%–20%	- Legal and compliance considerations - Ethical and safe use of AI tools
How GitHub Copilot Works and Handles Data	10%–15%	- Architecture and underlying technology - Context collection and privacy controls - Data processing, retention, and usage policies
Testing with GitHub Copilot	9%–15%	- Verifying output quality and correctness - Generating tests and validation
GitHub Copilot Plans and Features	25%–31%	- Free, Pro, Business, Enterprise plans - Feature comparison and capabilities - Configuration and settings
Privacy Fundamentals and Context Exclusions	15%–20%	- Configuring context exclusion rules - Protecting sensitive information

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GitHub CopilotCertification Exam Sample Questions (Q117-Q122):

NEW QUESTION # 117
In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?

A. GitHub Copilot can refactor applications to align with upcoming standards.
B. GitHub Copilot can create and deploy full-stack applications based on a single query.
C. GitHub Copilot can directly convert legacy applications into cloud-native architectures.
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 For example, it can recommend updates to outdated constructs, propose more efficient algorithms, or suggest frameworks and libraries that are widely used in modern application development.
* Why not A?GitHub Copilot does not "directly convert" legacy applications into cloud-native architectures. It can assist by suggesting code changes or patterns that support such a transition, but it doesn't autonomously perform the full conversion process, which involves architectural decisions and deployment steps beyond its scope.
* Why not C?While GitHub Copilot can generate code snippets and even larger portions of an application, it cannot create and deploy full-stack applications from a single query. It requires developer input, refinement, and integration to achieve a complete, deployable solution.
* Why not D?GitHub Copilot can assist with refactoring by suggesting improvements to existing code, but it doesn't inherently "align with upcoming standards" in a predictive sense. Its suggestions are based on current best practices and the data it was trained on, not future standards that are yet to be defined.
Thus,Bis the most accurate and realistic way GitHub Copilot aids developers in modernizing applications, leveraging its ability to provide relevant, context-based suggestions to update and improve codebases.

NEW QUESTION # 118
How long does it take content exclusion to add or be updated?

A. 45 - 60 minutes
B. 60 - 90 minutes
C. Up to 30 minutes
D. 24 hours

Answer: C

NEW QUESTION # 119
When can GitHub Copilot still use content that was excluded using content exclusion?

A. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
B. When the repository level settings allow overrides by the user.
C. When the user prompts with @workspace.
D. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.

Answer: D

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.

NEW QUESTION # 120
What is used by GitHub Copilot in the IDE to determine the prompt context?

A. Information from the IDE like open tabs, cursor location, selected code.
B. All the code in the current repository and any git submodules.
C. The open tabs in the IDE and the current folder of the terminal.
D. All the code visible in the current IDE.

Answer: A

Explanation:
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.

NEW QUESTION # 121
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

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

Answer: B,C

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.

NEW QUESTION # 122
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