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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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GitHub CopilotCertification Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

A. "Refactor my application to meet the latest coding standards."
B. "Suggest ways to enhance the maintainability of this code segment."
C. "Show me how to improve the readability of this function."
D. "Predict future coding trends and update my codebase accordingly."

Answer: B,C

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.

NEW QUESTION # 95
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Code suggestions
B. Pull Request Diff Analysis
C. Knowledge Base
D. Chat

Answer: A,D

NEW QUESTION # 96
What can be done during AI development to minimize bias?

A. Focus on accuracy of the data.
B. Improve on the computational efficiency and speed.
C. Use diverse data, fairness metrics, and human oversight.
D. Collect massive amounts of data for training.

Answer: C

Explanation:
Incorporating diverse datasets, applying fairness metrics throughout development, and maintaining human oversight are proven strategies for detecting and mitigating bias in AI systems.

NEW QUESTION # 97
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

A. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
B. It uses user-provided documentation exclusively to generate responses.
C. It primarily relies on the model's training data to generate responses.
D. It primarily uses search results from Bing to generate responses.

Answer: A

Explanation:
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.

NEW QUESTION # 98
Are there any limitations to consider when using GitHub Copilot for code refactoring?

A. GitHub Copilot understands the context of your entire project and refactors code accordingly.
B. GitHub Copilot can only be used with a limited set of programming languages.
C. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
D. GitHub Copilot always produces bug-free code during refactoring.

Answer: C

Explanation:
GitHub Copilot's refactoring suggestions are generated from patterns in its training data and may not always follow the most optimized or best‑practice implementations. Developers should always review and refine any refactored code it produces to ensure correctness and quality.

NEW QUESTION # 99
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