Microsoft GH-300 GitHub Copilot Exam Exam Practice Test

Have an organization owner configure content exclusions

Add a .gitignore file to the repo

Have a repo administrator configure content exclusions

Use the #file Chat variable to exclude the files

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"Show me how to improve the readability of this function."

"Suggest ways to enhance the maintainability of this code segment."

"Refactor my application to meet the latest coding standards."

"Predict future coding trends and update my codebase accordingly."

GitHub Copilot can automatically handle project management tasks.

GitHub Copilot can completely replace the need for human collaboration.

GitHub Copilot can predict and prevent bugs before they occur.

GitHub Copilot allows developers to stay in their IDE.

You are working in files included in your .gitignore

You do not have an active internet connection

Your programming language is not supported

Your content exclusion is active and blocks the use of GitHub Copilot

You do not have a valid GitHub Copilot license

Restricts Copilot to use only external databases for generating code suggestions.

Allows Copilot to generate suggestions based only on the prefix of the code.

Ignores both the prefix and suffix of the code, focusing only on user comments for context.

Improves suggestions by considering both the prefix and suffix of the code, filling in the middle part more accurately.

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

The excluded content is not directly available to GitHub Copilot to use as context.

GitHub Copilot suggestions are no longer available in the excluded files.

The excluded content is no longer used while debugging the code.

The IDE will not count coding suggestions in the excluded content.

GitHub Copilot cannot assist in writing documentation or comments.

GitHub Copilot can automatically generate complete and detailed documentation.

GitHub Copilot can suggest summaries or descriptions based on the code's functionality.

GitHub Copilot can only generate content in markdown format.

By analyzing the codebase and suggesting more efficient algorithms or data structures.

By automatically rewriting the codebase to use more efficient code.

By enforcing strict coding standards that ensure optimal performance.

By providing detailed reports on the performance of the codebase.

Optimize the usage of memory-intensive operations within generated code

Apply prompt engineering techniques to be more specific

Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements

Limit the number of concurrent users accessing GitHub Copilot Chat

By engaging in real-time collaboration with multiple developers to write boilerplate code.

By predicting future coding requirements and pre-emptively generating boilerplate code.

By refactoring the entire codebase to eliminate boilerplate code without developer input.

By suggesting code snippets that can be reused across different parts of the project.

GitHub Copilot may not always produce optimized or best-practice code for refactoring.

GitHub Copilot can only be used with a limited set of programming languages.

GitHub Copilot always produces bug-free code during refactoring.

GitHub Copilot understands the context of your entire project and refactors code accordingly.

GitHub Copilot can independently create a complete software design.

GitHub Copilot can suggest design patterns and best practices relevant to the project.

GitHub Copilot can manage design team collaboration and version control.

GitHub Copilot can generate user interface (UI) prototypes without prompting.

Provide specific success criteria

Provide all information about the utilized files

Provide insight on where to get the content from to get a response

Provide links to supporting documentation

GitHub Copilot can directly convert legacy applications into cloud-native architectures.

GitHub Copilot can suggest modern programming patterns based on your code.

GitHub Copilot can create and deploy full-stack applications based on a single query.

GitHub Copilot can refactor applications to align with upcoming standards.

GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.

GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.

GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

Accepted chat suggestions

Code suggestions made by GitHub Copilot

Changes to content exclusion settings

Suggestions blocked by duplication detection filtering

By filling out a feedback form on the GitHub website

By emailing the support team directly

By posting on the GitHub forums

Through the "Share Feedback" button in the Copilot Chat panel

GitHub Copilot Individuals

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Codespace

Running code suggestions through filters designed to detect public code

Comparing suggestions against public code using machine learning.

Analyzing the context and structure of the code being written

Reviewing the user's browsing history to identify public repositories

Keep the prompt as short as possible, using single words or brief phrases.

Write the prompt in natural language without any programming language.

Avoid mentioning the programming language to allow for more flexible suggestions.

Provide examples of expected input and output within the prompt.

Code snippets

Compiled binaries

Documentation

Design patterns

Screenshots

Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.

Use copilot suggest -> Write the command you want -> Select the best suggestion from the list.

Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.

Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.

Get a summary of GitHub Copilot usage for organization members

List all GitHub Copilot seat assignments for an organization

View code suggestions for a specific user

List of all unsubscribed GitHub Copilot members within an organization

By enforcing strict coding standards that prevent the introduction of vulnerabilities.

By providing detailed reports on the security vulnerabilities present in the codebase.

By annotating the given suggestions with known vulnerability patterns.

By automatically refactoring the entire codebase to remove vulnerabilities.

Translates code into a more performant language.

Enhances the performance of the selected code by analyzing its runtime complexity.

Automatically formats the code according to the selected style guide.

Summarizes your documentation into more maintainable and readable formats.

By suggesting assertions based on the code's context and semantics.

By automatically writing all the tests for the function.

By writing the implementation code for the function.

By executing the test cases to validate the correctness of the code.

Navigate to the Security tab in the organization's GitHub settings

Navigate to the Insights tab in the repository settings

Use the Audit log section in the organization's GitHub settings

Use the Code tab in the GitHub repository

Because GitHub Copilot can cover all possible scenarios in your test cases.

Because GitHub Copilot generates the best code possible for the test scenario.

Because GitHub Copilot's generated test cases may not cover all possible scenarios.

Because GitHub Copilot replaces the need for manual testing.

Initiates a code review with static analysis tools for security and logic errors.

Converts pseudocode into executable code, optimizing for readability and maintainability.

Generates new code snippets based on language syntax and best practices.

Proposes changes for detected issues, suggesting corrections for syntax errors and programming mistakes.

Constructs detailed test documentation.

Creates unit tests for the selected code.

Integrates with external testing frameworks.

Executes test cases to find issues with the code.

To compare user-generated code against a private repository for potential matches.

To allow administrators to control which suggestions are visible to developers based on custom criteria.

To encourage the user to follow coding best practices preventing code duplication.

To detect and block suggestions that match public code snippets on GitHub if they contain about 150 characters.

Focusing on accessibility will ensure fairness.

Focusing on collecting large datasets for training will ensure fairness.

Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Training AI data and algorithms to be free from biases will ensure fairness.

Utilize to interpret developer's thoughts and intentions without any code or comments.

Engage with chat participants such as @workspace to incorporate collaborative context into the responses.

Access developer's previous projects and code repositories to understand their coding style without explicit permission.

Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.

Describing in your prompt what your role is to get a better suggestion

Tell GitHub Copilot in what tone of voice it should respond

Prompt GitHub Copilot to explain what was the role of a suggestion

Giving GitHub Copilot multiple examples of the form of the data you want to use

Inclusiveness

Fairness

Reliability and Safety

Privacy and Security