01. After you enforced your GitHub Copilot for Business policy, where do you first navigate in order to enable Copilot for Business for all current and future users?
a) Policies
b) Your organizations in your profile dropdown menu
c) Settings in your profile dropdown menu
d) Selected teams/users
02. In the outbound flow of GitHub Copilot, which of the following actions might occur after the code suggestion is generated?
a) The suggestion is presented to the user for review and acceptance
b) The suggestion is immediately integrated into the user's code
c) The suggestion is sent to a third-party server for evaluation
d) The suggestion is automatically deleted to protect user privacy
03. What factors can be considered when working on code quality improvements?
a) The number of lines of code in the program.
b) The time required to write code.
c) The number of developers working on the project.
d) Readability, complexity, modularity, reusability, testability, extensibility, reliability, performance, security, scalability, usability, and portability.
04. What is the primary purpose of the toxicity filter in GitHub Copilot?
a) To ensure code suggestions are syntactically correct
b) To prevent the generation of code that violates intellectual property rights
c) To eliminate harmful or offensive content in code suggestions
d) To suggest code that adheres to specific coding standards
05. Which of the following is NOT a principle of effective prompt engineering for GitHub Copilot?
a) Clarity - Focus on a single, well-defined task.
b) Verbosity - Provide extensive and detailed descriptions.
c) Specificity - Use clear and explicit instructions.
d) Surround - Utilize descriptive filenames and keep related files open.
06. How does Copilot use an organization's codebase and internal knowledge to enhance productivity and collaboration?
a) By providing code suggestions based on open-source libraries only
b) By suggesting code without considering the project context
c) By randomly generating code snippets
d) By tailoring coding assistance, answering questions, and suggesting code aligned with the organization's standards and best practices
07. What does GitHub Copilot provide when creating unit tests for specific conditions?
a) It provides a user interface for manually writing tests.
b) It automatically runs the tests and provides the results.
c) It suggests completions and generates tests based on the code context.
d) It creates a full test suite without any user input.
08. What is the importance of context and intent when developing prompts for GitHub Copilot Chat?
a) They specify the scope that GitHub Copilot should examine and the goal to be achieved.
b) They determine the color scheme used by GitHub Copilot Chat.
c) They control the volume of the audio output from GitHub Copilot Chat.
d) They influence the programming language used for code suggestions.
09. What is the purpose of generating inline code documentation in software development?
a) To make the code more complex and challenging for other developers.
b) To create a more readable and maintainable codebase that's easier for other developers to understand and work with.
c) To increase the size of the codebase.
d) To showcase the developer's coding skills.
10. How does GitHub Copilot determine the code completion suggestions it provides?
a) Based on the context of code in the editor.
b) Based on the programming language used.
c) Based on the length of the code written.
d) Based on a random selection of popular coding patterns.
The purpose of this Sample Question Set is to provide you with information about the Microsoft GitHub Copilot exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the GH-300 certification test. To get familiar with real exam environment, we suggest you try our Sample Microsoft GitHub Copilot Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual Microsoft GitHub Copilot certification exam.