Free Microsoft GH-300 Practice Exam with Questions & Answers

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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Using well-known coding practices in your repository.

Ensuring that the correct context is available to GitHub Copilot.

Close all the tabs in your IDE that do not have tests in them.

Having a high test coverage percentage in the codebase.

Suggest innovative coding solutions that are not yet popular.

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

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

Suggest homogeneous solutions if provided a diverse data set.

Enterprise settings → Copilot → Policies

Repository settings → Copilot → Policies

Organization settings → Copilot → Policies

User settings → Copilot → Policies

By running code linters and formatters.

By providing visual diagrams of the code structure.

By answering questions about the code and generating explanations.

By automatically refactoring code to improve readability.

Create a technical requirement specification from the business requirement documentation

Explain a legacy COBOL code and translate the code to another language like Python.

Creation of a unit test scenario for newly developed Python code

Creation of end-to-end performance testing scenarios for a web application

Frequency of commits to the repository

Syntax highlighting scheme of the code in the IDE

Neighboring or related files within a project

Version control system integrated with the IDE

It filters out irrelevant information from the user ' s input prompt.

It enriches the input prompt with additional context before passing it to the language model.

It directly generates a response based on the user ' s input prompt.

It formats the output response before presenting it to the user.

Utilizing GitHub Copilot ' s ability to create fictitious information from patterns in training data.

Leveraging GitHub Copilot ' s ability to independently initiate and manage data storage services.

Utilize GitHub Copilot ' s capability to directly access and use databases to create sample data.

Leveraging GitHub Copilot ' s suggestions to create data based on API documentation in the repository.

Clearly defining the problem or task

Including personal information in the code comments

Using meaningful variable names

Providing examples of desired output

Use a .gitignore file to exclude irrelevant files