GitHub-Copilot GitHub CopilotCertification Exam Questions and Answers

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

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.

GitHub Copilot can fix syntax errors without user input.

GitHub Copilot can automatically rewrite code to follow best practices.

GitHub Copilot can suggest refactoring improvements for better code quality.

GitHub Copilot can remove unnecessary files from the project directory.

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

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.

It primarily relies on the model's training data to generate responses.

It primarily uses search results from Bing to generate responses.

It combines its training data set, code in user repositories, and external sources like Bing to generate responses.

It uses user-provided documentation exclusively to generate responses.

Giving as little context to GitHub Copilot as possible

Telling GitHub Copilot it needs to show only the correct answer

Only giving GitHub Copilot a question as a prompt and no examples

Giving GitHub Copilot examples of the problem you want to solve

Giving GitHub Copilot examples of the algorithm and outcome you want to use

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.

By adding comments to your code and triggering a suggestion.

By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."

By running the gh copilot fix command.

By using the "/fix" command in GitHub Copilot in-line chat.

By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."

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 can independently verify the statistical significance of results.

GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.

GitHub Copilot will automatically correct any statistical errors found in the user's initial code.

GitHub Copilot can design new statistical methods that have not been previously documented.

All repos are indexed

Indexing is static

It is an Enterprise feature

All file types are indexed

Prompts and Suggestions: Not retained

Prompts and Suggestions: Retained for 28 days

User Engagement Data: Kept for Two Years

User Engagement Data: Kept for One Year

Automatically formats the code according to the selected style guide.

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

Summarizes your documentation into more maintainable and readable formats.

Translates code into a more performant language.

Modify the .gitignore file to include the specific files.

Add the specific files to a copilot.ignore file.

Use the GitHub Copilot settings in the user interface to exclude files.

Rename the files to include the suffix _no_copilot.

Suggest homogeneous solutions if provided a diverse data set.

Suggest innovative coding solutions that are not yet popular.

Suggest code snippets that reflect the most common practices in the training data.

Suggest completely novel projects, while reducing time on a project.