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GitHub GitHub-Copilot Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Responsible AI7%- Explain responsible usage of AI
  • 1. Ethical AI practices and mitigation of harm
    • 2. Risks and limitations of generative AI
      • 3. Bias, privacy, security, and transparency considerations
        • 4. Validating AI-generated output
          Topic 2: 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 3: Developer Productivity with Copilot- Workflow optimization
                    • 1. Using Copilot in IDE workflows
                      • 2. Debugging and code completion enhancement
                        Topic 4: Prompt Engineering and Context Crafting- Effective prompting techniques
                        • 1. Context optimization for code generation
                          • 2. Zero-shot and few-shot prompting
                            Topic 5: GitHub Copilot Data, Privacy, and Architecture- Data handling and privacy safeguards
                            • 1. Data usage and retention considerations
                              • 2. Content exclusions and enterprise controls

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                                GitHub CopilotCertification Exam Sample Questions (Q93-Q98):

                                NEW QUESTION # 93
                                Your development team is concerned about the use of proprietary code in GitHub Copilot's training dataset. To maintain privacy and protect intellectual property, they want to ensure that specific files or directories are not used by GitHub Copilot for training purposes. What should they configure to achieve this?

                                Answer: D

                                Explanation:
                                GitHub Copilot supports the ".Copilotignore" file, which allows users to explicitly exclude files or folders from being considered as context for suggestions and from being used for future model improvements. This is the appropriate way to protect proprietary code.
                                Reference:
                                https://learn.microsoft.com/en-us/training/modules/github-copilot-management-and-customizations/4-manage-content-exclusions
                                https://marketplace.visualstudio.com/items?itemName=Mattickx.copilotignore-vscode


                                NEW QUESTION # 94
                                How does GitHub Copilot Chat help to fix security issues in your codebase?

                                Answer: C

                                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 # 95
                                What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

                                Answer: A

                                Explanation:
                                Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.


                                NEW QUESTION # 96
                                What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

                                Answer: C

                                Explanation:
                                The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.


                                NEW QUESTION # 97
                                You are configuring GitHub Copilot in the CLI for a smoother developer experience. Which of the following aliases can be set up to perform common actions like code suggestions and explanations?

                                Answer: B,C

                                Explanation:
                                ghcs is a commonly configured alias for the GitHub Copilot CLI command to suggest code. It simplifies the user experience by allowing developers to quickly prompt Copilot from the terminal.
                                ghce stands for GitHub Copilot Explain and is another helpful alias that allows developers to request natural language explanations for code from the terminal.
                                Reference:
                                https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/configuring-github-Copilot-in-the-cli#setting-up-aliases


                                NEW QUESTION # 98
                                ......

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