How GitHub GitHub-Copilot Practice Questions Can Help You in Exam Preparation?

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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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                                GitHub CopilotCertification Exam Sample Questions (Q107-Q112):

                                NEW QUESTION # 107
                                Which of the following principles are most closely aligned with ethical AI practices? (Select THREE)

                                Answer: A,B,D

                                Explanation:
                                TRANSPARENCY is a key component of ethical AI. It ensures stakeholders can trace how AI makes decisions and be accountable for suggestions that it generates.
                                PRIVACY and SECURITY are essential for protecting the sensitive user information and ensuring AI systems are secure and also respects the user's privacy.
                                Promoting FAIRNESS and reducing bias helps prevent discrimination and welcomes people from all groups of society without considering any kind of differentiators.
                                Reference:
                                https://learn.microsoft.com/en-us/training/modules/responsible-ai-with-github-copilot/3-six-principles-of-responsible-ai


                                NEW QUESTION # 108
                                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: C,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 # 109
                                In which of the following scenarios is GitHub Copilot Chat most effectively utilized?

                                Answer: C

                                Explanation:
                                GitHub Copilot Chat excels at providing context-aware assistance directly within the developer's IDE. When a developer asks a question about a function, class, or logic in their codebase, Copilot Chat can interpret the context and offer accurate, helpful responses, such as explanations of what a piece of code does, how to refactor it, or how to fix an error. This makes it particularly effective for in-the-moment learning and debugging during software development.
                                Reference:
                                https://docs.github.com/en/Copilot/about-github-Copilot/what-is-github-Copilot#Copilot-features


                                NEW QUESTION # 110
                                What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

                                Answer: A

                                Explanation:
                                When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.


                                NEW QUESTION # 111
                                Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

                                Answer: C

                                Explanation:
                                The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.


                                NEW QUESTION # 112
                                ......

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