GH-300 Practice Questions

A.  

Generate suggestions

B.  

Capturing the user's context

C.  

Processing telemetry data

D.  

Retraining the model

E.  

Storing user data

A.  

Clearly defining the problem or task

B.  

Including personal information in the code comments

C.  

Using meaningful variable names

D.  

Providing examples of desired output

E.  

Use a .gitignore file to exclude irrelevant files

A.  

It automatically merges pull requests after an automated review.

B.  

It generates a prose summary and a bulleted list of key changes for pull requests.

C.  

It can validate the accuracy of the changes in the pull request.

D.  

It can answer questions about the changeset of the pull request.

A.  

Code quality

B.  

Compatibility with user-specific settings

C.  

Suggestions matching public code (optional based on settings)

D.  

Performance benchmarking

A.  

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

B.  

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

C.  

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

D.  

GitHub Copilot can refactor applications to align with upcoming standards.

A.  

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

B.  

Write the prompt in natural language without any programming language.

C.  

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

D.  

Provide examples of expected input and output within the prompt.