GH-300 Exam Dumps - Microsoft GitHub Administrator Questions and Answers

“GitHub Copilot Chat can reference the ongoing conversation history to analyze patterns, common coding styles, and errors, providing more accurate and contextual suggestions.”

This demonstrates that chat history is used to identify patterns and enhance contextual accuracy, making option C correct.

“Copilot’s responses are generated based on patterns in training data and are not guaranteed to be mathematically accurate. Developers must verify calculations independently.”

This shows that Copilot cannot guarantee correctness in math and relies on patterns, making option C correct.

“Because GitHub Copilot is trained on a large amount of publicly available code, it often suggests snippets that reflect common coding practices and idioms.”

This shows that Copilot reflects the most common practices it has seen in its training data.

Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.

“If excluded content is referenced by non-excluded code, such as through function calls, Copilot may still use that reference context.”

This confirms that excluded content can indirectly appear if referenced elsewhere.

GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

Content exclusions typically take up to 30 minutes to be added or updated.

Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.

To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.

“Enterprise administrators can configure content exclusions to exclude entire repositories, folders, or specific files from being used by Copilot.”

This confirms that files, folders, and repositories can be excluded, but not individual lines or gists.