Describe Data Handling and Flow GH-300 Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A developer is using GitHub Copilot in a large monorepo with many files. They notice that suggestions are often based on a few files that are not currently open. How does Copilot decide which files to include in the prompt?

   • AIt asks the developer to manually select which files to include in the prompt.
   • BIt includes all files that are open in the editor, regardless of relevance.
   • CIt uses a heuristic based on file similarity and recent edits to choose relevant snippets.
   • DIt randomly selects files from the repository to provide diverse context.
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2. 17application · medium

   After Copilot generates a suggestion, the developer accepts it. What happens to the accepted code in terms of data flow?

   • AThe accepted code remains in the developer's editor and is saved to the local file; no additional data is sent.
   • BThe accepted code is sent back to GitHub for further training.
   • CThe accepted code is sent to the proxy layer for a final security scan.
   • DThe accepted code is stored in a GitHub repository automatically for version control.
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4. 18expert · hard

   A developer is using Copilot and notices that a suggestion contains a code snippet that is identical to a snippet from a public repository. The developer is concerned about licensing. What should they do?

   • AUse the suggestion as-is, since Copilot is designed to generate original code.
   • BReport the suggestion to GitHub so they can remove it from the model's training data.
   • CCheck the Copilot settings to enable the 'similar code' filter, which will block such suggestions.
   • DReview the suggestion for licensing implications and consider using a different approach if the code is from a source with restrictive licensing.
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5. 19foundation · medium

   Which of the following is a purpose of preprocessing user input before sending it to the Copilot model?

   • ATo encrypt the code so that only the user can decrypt the suggestions
   • BTo reduce the size of the input to fit within the model's context window
   • CTo check the code for syntax errors and fix them before sending
   • DTo convert the code into a binary format that the model can understand
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6. 20application · medium

   A developer is working on a Python function and has written a comment describing the expected behavior. They want Copilot to generate the function body. What should they do to maximize the chance of a good suggestion?

   • ARemove all other code from the file so the comment is the only context.
   • BUse a very long comment to ensure the model has enough detail.
   • CPlace the comment directly above the function signature and include specific details about inputs and outputs.
   • DWrite the comment in a separate file and reference it with a TODO.
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