Free Microsoft GH-300 Practice Exam with Questions & Answers

“Developers should always review, test, and refactor code generated by GitHub Copilot. Copilot can speed up development, but maintaining code quality requires careful human oversight.”

This establishes that regularly reviewing and refactoring Copilot suggestions is the recommended best practice.

GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.

Exact extracts:

“For GitHub Copilot Individual, prompts and code completions may be retained and used to train machine learning models to improve Copilot.”

GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

GitHub Copilot and GitHub Copilot Chat are powerful AI-driven tools designed to assist developers by providing context-aware code suggestions and interactive support. Specifically, in the context of modernizing applications, GitHub Copilot excels at analyzing existing code and suggesting modern programming patterns, best practices, and syntax improvements that align with contemporary development standards. For example, it can recommend updates to outdated constructs, propose more efficient algorithms, or suggest frameworks and libraries that are widely used in modern application development.

Why not A?GitHub Copilot does not "directly convert" legacy applications into cloud-native architectures. It can assist by suggesting code changes or patterns that support such a transition, but it doesn’t autonomously perform the full conversion process, which involves architectural decisions and deployment steps beyond its scope.

Why not C?While GitHub Copilot can generate code snippets and even larger portions of an application, it cannot create and deploy full-stack applications from a single query. It requires developer input, refinement, and integration to achieve a complete, deployable solution.

Why not D?GitHub Copilot can assist with refactoring by suggesting improvements to existing code, but it doesn’t inherently "align with upcoming standards" in a predictive sense. Its suggestions are based on current best practices and the data it was trained on, not future standards that are yet to be defined.

Thus,Bis the most accurate and realistic way GitHub Copilot aids developers in modernizing applications, leveraging its ability to provide relevant, context-based suggestions to update and improve codebases.

GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

“While Copilot can suggest refactoring changes, the code may not always follow best practices or be fully optimized. Developers must review and validate suggestions.”

This confirms that limitations exist in optimization and best practices, making option A correct.

The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

GitHub Copilot Chat helps in understanding existing codebases by answering questions about the code and generating explanations. This allows developers to quickly grasp the functionality and structure of unfamiliar code.

GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.