Understand Lifecycle and Limitations GH-300 Practice Questions (Page 3)

Questions 11–15

1. 11expert · medium

   A security team is evaluating Copilot for use in a project that handles sensitive customer data. They are concerned about the possibility of Copilot suggesting code that leaks data or introduces vulnerabilities. What is the most comprehensive mitigation strategy?

   • ARely on Copilot's built-in security filters to block insecure suggestions.
   • BImplement a combination of code review, automated security scanning, and developer training on secure coding practices.
   • CDisable Copilot for the project to eliminate all risks.
   • DUse Copilot only for non-sensitive parts of the codebase.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which of the following is a limitation of GitHub Copilot related to its training data?

   • AIt can only generate code in languages that are popular on GitHub
   • BIt requires the user to provide training data for each project
   • CIt can only suggest code from open-source projects
   • DIt may not be up-to-date with the latest language features or libraries
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which of the following is an inherent limitation of large language models (LLMs) in code generation?

   • AThey require an internet connection to function
   • BThey can only generate code in a single programming language
   • CThey always produce syntactically correct code
   • DThey lack true understanding of the code they generate
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   What is a common risk when using large language models for code generation?

   • AThe model requires a human to correct every suggestion
   • BThe model can only generate code that has been seen in training data
   • CThe model will always generate the most efficient algorithm
   • DThe model may produce plausible but incorrect code
   Reveal Solution Discussion Select an answer first
6. 15expert · medium

   A developer is using Copilot to generate a complex algorithm. The suggestion is syntactically correct and passes unit tests, but the developer suspects it may have a subtle bug that only appears with certain inputs. What is the best course of action?

   • APerform a thorough code review and add edge-case tests to verify the algorithm's behavior.
   • BAssume Copilot's suggestion is correct because it is generated by an AI.
   • CAccept the suggestion because it passes the tests.
   • DReject the suggestion and write the algorithm from scratch.
   Reveal Solution Discussion Select an answer first