A.  

Generate suggestions

B.  

Capturing the user's context

C.  

Processing telemetry data

D.  

Retraining the model

E.  

Storing user data

A.  

The default execution confirmation

B.  

Usage analytics

C.  

The default editor

D.  

GitHub CLI subcommands

A.  

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

B.  

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

C.  

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

D.  

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

A.  

Self hosted

B.  

Amazon Web Service

C.  

Microsoft Azure

D.  

Google Cloud Platform

A.  

To track the number of lines of code suggested by Copilot

B.  

To assign software licenses within the organization

C.  

To monitor code conflicts across repositories

D.  

To monitor administrator activities and actions within the organization

A.  

Repository administrators and organization owners cannot manage content exclusion settings.

B.  

Content exclusions can be worked around as it is only available for Git repositories.

C.  

Content exclusions can only be configured by an enterprise administrator.

D.  

Content exclusions are only available in the GitHub Copilot Individual plan.

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.  

Using well-known coding practices in your repository.

B.  

Ensuring that the correct context is available to GitHub Copilot.

C.  

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

D.  

Having a high test coverage percentage in the codebase.

A.  

If the contents of an excluded file are referenced in code that is not excluded, for example function calls.

B.  

When the repository level settings allow overrides by the user.

C.  

If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

D.  

When the user prompts with @workspace.

A.  

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

B.  

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

C.  

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

D.  

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

A.  

Limited training data

B.  

No biases in code suggestions

C.  

Ability to handle complex code structures

D.  

Extensive support for all programming languages

A.  

Monthly as a subscription

B.  

Annually as a subscription

C.  

Monthly, as a metered service based on actual consumption

D.  

Free (not billed) for all open source projects

A.  

The GitHub Copilot icon in the status bar of the editor will display a message

B.  

The GitHub Copilot logs on GitHub.com under your user settings

C.  

The code suggestions window will display a warning message

D.  

The GitHub Copilot errors panel in your IDE

A.  

GitHub Copilot cannot assist in writing documentation or comments.

B.  

GitHub Copilot can automatically generate complete and detailed documentation.

C.  

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

D.  

GitHub Copilot can only generate content in markdown format.

A.  

Up to 30 minutes

B.  

45 - 60 minutes

C.  

60 - 90 minutes

D.  

24 hours

A.  

Prompts and Suggestions: Not retained

B.  

Prompts and Suggestions: Retained for 28 days

C.  

User Engagement Data: Kept for Two Years

D.  

User Engagement Data: Kept for One Year

A.  

Improve on the computational efficiency and speed.

B.  

Focus on accuracy of the data.

C.  

Collect massive amounts of data for training.

D.  

Use diverse data, fairness metrics, and human oversight.

A.  

By opening the relevant tabs in your IDE

B.  

By adding relevant code snippets to your prompt

C.  

By adding the important files to your .gitconfig

D.  

By adding the full file paths to your prompt of important files

A.  

Blocking public code matches

B.  

Blocking license check configuration

C.  

Allowing public code matches

D.  

Allowing license check configuration

A.  

Provide specific success criteria

B.  

Provide all information about the utilized files

C.  

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

D.  

Provide links to supporting documentation

A.  

GitHub Copilot Business

B.  

GitHub Copilot Codespace

C.  

GitHub Copilot Individual

D.  

GitHub Copilot Enterprise

A.  

Using machine learning models trained only on private repositories

B.  

Reviewing and storing user-specific private repository data for future suggestions

C.  

Filtering out suggestions that match code from public repositories

D.  

Implementing safeguards to detect and avoid suggesting verbatim snippets from public code

A.  

Responses are faster to produce and appear sooner

B.  

Responses use practices and patterns in your repositories

C.  

Responses use the organization's LLM engine

D.  

Responses are guaranteed to be correct

A.  

GitHub Copilot's capability to optimize complex mathematical algorithms beyond manual coding.

B.  

GitHub Copilot's ability to execute and verify mathematical results in real-time.

C.  

GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.

D.  

GitHub Copilot's automatic update of outdated mathematical formulas to modern standards.

A.  

Code snippets

B.  

Compiled binaries

C.  

Documentation

D.  

Design patterns

E.  

Screenshots

A.  

The Gen AI tool is overloaded with too many requests at once.

B.  

The Gen AI tool is experiencing downtime and is not fully recovered.

C.  

The Gen AI tool is programmed with a focus on creativity over factual accuracy.

D.  

The training data might contain biases or inconsistencies.

A.  

GitHub Copilot Individual

B.  

GitHub Copilot Business

C.  

GitHub Copilot Business for non-GHE Customers

D.  

GitHub Copilot Enterprise

E.  

GitHub Copilot Teams

A.  

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

B.  

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

C.  

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

D.  

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

A.  

Use the emojis in the Copilot Chat interface.

B.  

The feedback section on the GitHub website.

C.  

By tweeting at GitHub's official X (Twitter) account.

D.  

The Settings menu in the GitHub Mobile app.

A.  

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

B.  

By automatically writing all the tests for the function.

C.  

By writing the implementation code for the function.

D.  

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

A.  

Based on the payment method in your user profile

B.  

N/A – Copilot Individual is a free service for all open source projects

C.  

Through an invoice or a credit card

D.  

Through an Azure Subscription

A.  

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

B.  

It primarily uses search results from Bing to generate responses.

C.  

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

D.  

It uses user-provided documentation exclusively to generate responses.

A.  

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

B.  

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

C.  

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

D.  

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

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.  

By offering code transformation examples that enhance performance and reduce complexity.

B.  

By independently ensuring compliance with regulatory standards across industries.

C.  

By providing suggestions for improving code readability and maintainability based on best practices.

D.  

By autonomously refactoring entire codebases to the latest programming language.

A.  

Real-time debugging and error resolution statistics.

B.  

Insights on the types of coding languages where GitHub Copilot is most helpful.

C.  

Automated generation of complete project documentation.

D.  

Detailed analysis of GitHub Copilot's suggestions vs. manual coding.