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GitHub GitHub-Copilot Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prompt Engineering and Context Crafting- Effective prompting techniques
  • 1. Context optimization for code generation
    • 2. Zero-shot and few-shot prompting
      Topic 2: Developer Productivity with Copilot- Workflow optimization
      • 1. Debugging and code completion enhancement
        • 2. Using Copilot in IDE workflows
          Topic 3: GitHub Copilot Data, Privacy, and Architecture- Data handling and privacy safeguards
          • 1. Content exclusions and enterprise controls
            • 2. Data usage and retention considerations
              Topic 4: GitHub Copilot Plans and Features31%- Core Copilot features
              • 1. Inline code suggestions
                • 2. Chat-based assistance
                  • 3. CLI and multi-suggestion workflows
                    - Copilot plans comparison
                    • 1. Copilot Individual vs Business vs Enterprise
                      • 2. IDE integration and Copilot Chat usage
                        Topic 5: Responsible AI7%- Explain responsible usage of AI
                        • 1. Bias, privacy, security, and transparency considerations
                          • 2. Ethical AI practices and mitigation of harm
                            • 3. Risks and limitations of generative AI
                              • 4. Validating AI-generated output

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                                GitHub CopilotCertification Exam Sample Questions (Q110-Q115):

                                NEW QUESTION # 110
                                Where is the proxy service hosted?

                                Answer: B

                                Explanation:
                                The proxy service for GitHub Copilot is hosted on Microsoft Azure.


                                NEW QUESTION # 111
                                When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? Each correct answer presents part of the solution. (Choose two.)

                                Answer: A,D

                                Explanation:
                                Within your IDE's Copilot Chat pane you can ask it to explain existing code and suggest improvements.
                                You can also prompt it to generate unit tests for your code directly in the editor.


                                NEW QUESTION # 112
                                What role does the pre-processing of user input play in the data flow of GitHub Copilot Chat?

                                Answer: A

                                Explanation:
                                During pre-processing, Copilot Chat augments your raw prompt with relevant context--such as system instructions, chat history, and repository metadata--before sending it to the language model for a more informed response.


                                NEW QUESTION # 113
                                Which of the following statements best describes the impact of GitHub Copilot on the software development process?

                                Answer: C

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


                                NEW QUESTION # 114
                                Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data? Each correct answer presents part of the solution. (Choose two.)

                                Answer: C,D

                                Explanation:
                                Copilot uses your real‑time input (the prompt and surrounding code) to generate relevant, context
                                ‑aware suggestions on the fly.
                                Under the Individual plan, unless you opt out, your prompts and accepted suggestions are fed back into GitHub's model‑training pipeline to improve future code completions.


                                NEW QUESTION # 115
                                ......

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