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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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                                GitHub CopilotCertification Exam Sample Questions (Q72-Q77):

                                NEW QUESTION # 72
                                What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

                                Answer: B

                                Explanation:
                                The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.


                                NEW QUESTION # 73
                                A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

                                Answer: A

                                Explanation:
                                For organizations that do not have a GitHub Enterprise Cloud (GHEC) subscription, the GitHub Copilot Business plan is indeed the most cost-effective option that supports an Identity Provider (IdP) like Okta.
                                Why this plan fits:
                                Cost: At $19 USD per user/month, it is significantly cheaper than the Copilot Enterprise plan ($39 USD per user/month).
                                IdP Support: It provides SAML SSO support, allowing you to manage user access through Okta even if your code is hosted elsewhere (e.g., Bitbucket).
                                No GHEC Requirement: Unlike the "Enterprise" tier, this specific SKU allows you to provide enterprise-style identity and access management without a full GitHub Enterprise setup.
                                Reference:
                                https://dev.to/codewithsimon/what-is-github-copilot-and-how-can-it-boost-your-productivity-14gg


                                NEW QUESTION # 74
                                Which Copilot Enterprise features are available in all commercially supported IDEs?

                                Answer: A,D

                                Explanation:
                                Chat: The Copilot Chat pane is integrated into every commercially supported IDE, letting you ask coding questions and get conversational assistance directly in your editor.
                                Inline suggestions: Real‑time code completions ("inline suggestions") appear as you type in all supported IDEs, providing context‑aware code snippets without leaving your editor.


                                NEW QUESTION # 75
                                When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?

                                Answer: A

                                Explanation:
                                Providing concrete examples of your company's test structure and standards within the prompt steers Copilot Chat to generate boilerplate that aligns with your guidelines.


                                NEW QUESTION # 76
                                What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

                                Answer: A,B

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


                                NEW QUESTION # 77
                                ......

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